Position of Assistant Professor in Applied Mathematics and Statistics Department : Engineering and Process Sciences Department (DSIP) Discipline: Applied Mathematics and Applications of Mathematics CNU n° 26/ CNECA 3 (Ministère de l'Agriculture et de la Souveraineté alimentaire) Expected openning.
A position for an assistant professor (Maître de conferences/MCF) in applied mathematics and statistics is likely to be published in spring 2024 at the Institut Agro, Dijon. The research activities will be carried out within the UMR Agroécologie (INRAE/University of Burgundy/Institut Agro), Pôle MICSOL, in connection with the 'microbiology and ecosystem functions of soils' theme. The profile sought is that of a candidate at the interface between statistics in its contemporary data science aspects and mathematical modelling for life and environmental sciences.
Teaching activities will take place within the Engineering Sciences and Processes Department. The MCF will be involved in initial engineering training (agronomy and agri-food pathways) and apprenticeships as part of core and specialised teaching. There will also be opportunities to take part in international masters courses, such as those run by SFRI's 'Integrate' Graduate School 'Transbio' or the FORTHEMICROBES international masters course run by the FORTHEM European Alliance. The person recruited will need to have a general knowledge of both the mathematical/theoretical and practical aspects of statistics, as well as standard software and languages (R, Python), enabling them to adapt their teaching to a variety of specialist and non-specialist audiences.
Both the research and teaching aspects of this post are in line with strategic priority 5 "Data science' in the research strategy of the Institut Agro Dijon.Through its application aspects in soil microbiology, in particular the dimension linked to the evaluation of the quality of the microbial component of agroecosystems, this position also contributes to Axis 3 "Natural and controlled microbial ecosystems", a differentiating research topics of the Institut Agro Dijon.
Contacts : DSIP Director: Ludovic Journaux Director of UMR Agroecology Fabrice Martin
We are pleased to announce the Workshop on Models and Inference in Population Genetics to be held 15-18 April 2024 at the University of Warwick, UK.
This workshop, held in association with CRiSM, is the fourth of series of earlier events held in 2012, 2015, and 2019. For this edition there will be an additional theme of fragmentation and coalescence, in association with the EPSRC project "Random fragmentation-coalescence processes out of equilibrium".
Stochastic coalescence and fragmentation models respectively describe how blocks of mass randomly join together and break apart over time according certain rules of random evolution. These models are important in fields including physical chemistry, ecology, and population genetics – where coalescence and fragmentation underlie widely studied genealogical processes. The aims of this workshop are to bring together researchers in probability and statistics working in all aspects of fragmentation, coalescence, genealogy, and genetic inference.
We already have an exciting line-up of confirmed speakers, as well as two mini-courses aimed at PhD and early-career researchers: - Amandine Véber (Paris Descartes University) "Stochastic models of genealogies in spatially structured populations" - Emmanuel Schertzer (University of Vienna) – "New topics in coalescent theory"
Further details, as well as instructions on how to register, can be found at the workshop webpage: https://warwick.ac.uk/fac/sci/statistics/staff/academic-research/jenkins/maiipg/
The Cahn-Hilliard equation, originally developed in the field of materials science, finds nowadays applications in both physics and biology. In physics, this PDE is used to model the phase separation phenomena, such as the formation of patterns in binary mixtures. In biology, the Cahn-Hilliard equation has been applied to study various phenomena, including cell-cell adhesion, tumour growth, and pattern formation in biological tissues. The Cahn-Hilliard equation is also a source of interesting problems for mathematicians. Its analysis presents several intricate mathematical challenges that intrigue researchers across mathematical and numerical analysis. One major issue lies in establishing the well-posedness of solutions, as the equation's degeneracy and fourth-order nature imply a lack of maximum principle. The degeneracy in the fourth-order term is also a source of difficulties for numerical simulations. In recent years, these challenges have spurred the exploration of advanced mathematical tools, such as the application of de Giorgi's method to prove so-called separation property, analysis of the nonlocal approximations to demonstrate the validity of singular limits (for instance, the high-friction limit) or the concept of varifold solutions to study sharp-interface limit and establish connection with the Hele-Shaw flow.
The week-long conference on “The Cahn-Hilliard equation - recent advances and new challenges” is planned to take place from the 21st to 26th April 2024 at the European Centre for Geological Education in Chęciny, Poland. The Centre is beautifully located in the Holy Cross Mountains (Góry Świętokrzyskie) in southern Poland. More information on https://crossing.icm.edu.pl/conference/
We have an open postdoc position in Bayesian inference for cell biology applications at Uppsala University, Sweden.
We are looking for candidates with a (current or upcoming) PhD in mathematics/statistics/machine learning/similar and a keen interest in using mathematics and AI for applications in cancer research.
Link: https://www.jobb.uu.se/details/?positionId=709844
Apply by: April 29th, 2024. Duration: 2 years.
What we offer: • A supportive research environment. • Local and international multidisciplinary collaborations. • Competitive career progression opportunities. • 2 years’ salary.
Prospective applicants are welcome to contact us (https://sarahamis.github.io/contact/) with any questions about the application or position.
This workshop is designed to delve into the intricate relationship between mathematics and living systems, with a focus on unraveling complexities through comprehensive understanding and practical proficiency. Participants will gain insites into dynamical systems and various forms of differential equations, including stochastic modeling techniques to address uncertainties inherent in life sciences.
For details please visit:
https://sites.google.com/view/m3ls2024
Dear all, We are happy to announce that the 6th edition of the tri-annual conference on « Stochastic Processes in Evolutionary Biology » will take place May 20-24, 2024 in the south of France close to Marseille, at CIRM (Luminy), a unique location on the doorstep of the beautiful "calanques". The conference will be a lively place to interact for researchers working at the interface between probability theory and evolution.
We are launching a call to researchers wishing to present their latest research on top of a dozen invited speakers (see list below).
Successful applications may or may not present actual biological data, but must contain interesting mathematical results. A slight preference will be given to contributions from young researchers and/or with a focus on one of the following topics:
Please send your proposal via the form https://framaforms.org/6th-cirm-conference-on-stochastic-processes-in-evolutionary-biology-luminy-france-may-20-24-2024
Deadline: December 1st, 2023.
In case your proposal is accepted (talk or poster), your accomodation at CIRM will be covered (but not your travel expenses).
Don't hesitate to contact us should you have any question. Please disseminate this announcement to interested colleagues - apologies for multiple postings.
Best wishes, Amaury Lambert Peter Pfaffelhuber List of invited speakers: Jochen Blath Camille Coron Félix Foutel--Rodier Simon Myers Sarah Penington Cornelia Pokalyuk Emmanuel Schertzer Jason Schweinsberg Charline Smadi Maite Wilke Berenguer https://conferences.cirm-math.fr/3000.html
Dear Colleagues,
We are pleased to announce the 18th Mathematics in Life Sciences (MiLS) meeting which will focus on "Uncertainty and Dynamics in Biological and Healthcare Models". This meeting will take place on the 22nd and 23rd May 2024 in the Living Systems Institute at the University of Exeter.
The meeting aims to bring together mathematicians, statisticians, and data scientists to discuss methodology for and applications of uncertainty quantification in biology and healthcare. The workshop will place a particular focus on models involving prediction of future outcomes across a range of applications (e.g., predicting the effect of clinical decisions, or drug interventions).
Confirmed speakers include: Dr Daniele Avitabile (VU Amsterdam) Prof. Michael Goldstein (Durham University) Dr TJ McKinley (University of Exeter) Prof. Steve Niederer (Imperial College London) Dr Mihaela Paun (University of Glasgow) Dr Victoria Volodina (University of Exeter) Prof. Richard Wilkinson (University of Nottingham)
We solicit contributed talks and posters related to the theme, especially from early career researchers and postgraduate students. If you are interested in giving a talk or poster, please send a title and abstract using this registration form by 29th April 2024. Attendance to the meeting is free of charge, but we kindly ask you to register your intention to attend by completing the registration form here: https://forms.office.com/e/QBui3TS6ip
Best wishes, Kyle Wedgwood Living Systems Institute University of Exeter
In a rapidly changing world, understanding the intricate relationships between climate and ecosystems has become more critical than ever.
The “Climate-Inclusive Ecosystem Modeling: Understanding the Dynamics of Ecosystems in a Changing World (CIEM-24)” conference seeks to bring together researchers, scientists and stakeholders to explore and discuss cutting-edge approaches in modeling ecosystems, taking into account the profound influence of climate factors. The conference aims to address a wide range of topics, including theoretical ecology, ordinary and partial differential equations, autonomous and non-autonomous dynamical systems, multi-scale modelling, stochastic systems, among others, providing a comprehensive understanding of how climate change affects ecosystems and how ecosystem modeling can be enhanced to incorporate these effects.
BioInference 2024: save the date and call for abstracts
The BioInference 2024 conference (https://bioinference.github.io/2024/) is taking place at the University of Warwick on the 5th-7th June 2024, and it will combine a data-driven meeting on day 1 (registration fee: £30) with the main two-day conference on the 6th and 7th June 2024 (registration fee: £70).
Launched in 2022, BioInference aims to bring together researchers from across statistics and mathematical modelling who work with biological systems, and from all career stages, to foster discussions between the two communities and to prompt collaborations. The talks from the two previous BioInference conferences are available via our public YouTube channel (youtube.com/@bioinference5299).
The two-day conference will combine contributed talks and poster sessions. We now invite abstracts for oral/poster presentations on work either relating to statistical methods development (so long as those methods are applicable to biological systems) or on the application of statistical methods to solve biological problems. All presentations will be in-person. Abstracts can be submitted via a Google form (forms.gle/SBawnWD3k8iSS1Vt6) and the deadline is on the 31st January 2024.
It is our pleasure to confirm that this year's invited speakers are: · Alex Browning, University of Oxford · Sarah Filippi, Imperial College London · Hong Ge, University of Cambridge · Hamid Rahkooy, University of Oxford · Heba Sailem, King’s College London · Catalina Vallejos, University of Edinburgh The conference organising committee is committed to ensuring fair participation of individuals across all career stages, genders, races and ethnicities, ages, geographic locations, and universities. Data-driven meeting: problems and methodologies
This year, we are also running an optional event on the 5th June at Warwick before the main conference starts. This aims to bring together mathematicians, statisticians and those who possess or generate datasets and would like to analyse them/answer some open questions. These may include biologists, clinicians etc in academia and industry. The idea of this meeting is to think about potential solutions to these data-based problems, gathering interest for possible collaborations between individuals across disciplines, institutions and career stages. The day would consist of a range of presentations by the experimental/business partners in the morning, and focus/discussion groups in the afternoon, aiming to start formulating an action plan to tackle the open challenges. The cost of attending day one is £30 in addition to the registration fee for the main conference. Kind regards, The BioInference Organisers Enrico Bibbona (Politecnico di Torino); Ioana Bouros (Oxford); Julia Brettschneider (Warwick); Raiha Browning (Warwick); Fergus Cooper (Oxford); Marina Evangelou (Imperial College London); Aden Forrow (Maine); Constandina Koki (Warwick); Ben Lambert (Oxford); Chon Lok Lei (Macau); Massimiliano Tamborrino (Warwick); Tom Thorne (Surrey); Yongchao Huang (Aberdeen).
There will be a special workshop on chemical reaction networks and dynamical systems, taking place in Pula (Sardinia) from June 9-15, 2024. The workshop organizers are D. Cappelletti (Turin), S. Müller (Vienna), S. Walcher (Aachen) and C. Wiuf (Copenhagen).
The workshop is a part of the SPT (Symmetry and Perturbation Theory) series that has been in existence since 1996. The overarching goal of these conferences is to foster interaction and collaboration between various groups of the scientific community. The focus of this workshop will be on reaction networks (deterministic and stochastic) and dynamical systems, bringing together specialists from both disciplines.
For more information see the SPT web page http://www.sptspt.it/SPT2024/SPTCRN2024.html , and join the mailing list announced on this site for timely updates.
The International Conference on Mathematical Neuroscience (ICMNS) is an inter-disciplinary conference series, bringing together theoretical/computational neuroscientists and mathematicians. The conferences are aimed at scientists interested in using or developing mathematical techniques for neuroscience problems. The conference will take place at University College Dublin from the 12th to 14th of June 2024, and will include keynote, invited and contributed talks.
We welcome the submissions of contributed talks or posters, with deadline on the 16th of January 2024 at 23:59 (GMT). The submission involves uploading a 1-page abstract.
You can read more about the conference and submit your work on our website https://www.danieleavitabile.com/icmns24/
I wanted to draw your attention to the workshop that Tamas Insperger and I organized for Udine, Italy for Oct 14-18, 2024.
It will have distinctly DDE and modeling perspective and likely will be near the last times that many of the speakers will give live teaching-style lectures (e.g.me, Stepan and Morasso). I suspect it may be expensive to travel to the meeting; however, it is possible to attend online. I think that the lectures given by Insperger and Stepan plus others would be of interest to mathematical biology students working on DDEs as well as those interested in falls in the elderly, etc.
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