We are looking to recruit an Assistant Professor in data-driven life sciences to Chalmers University of Technology. The appointment is a four-year, entry-level, faculty position with tenure track, with a generous starting package of 17 MSEK, equivalent to 2 PhD students and a postdoc, besides the assistant professor's salary.
The position is open to all within 7 years of their PhD degree who work on using data, computational methods or artificial intelligence to study biological systems and processes at all levels. You would be joining an active research environment with collaborations and initiatives within quantitative biology ranging from synthetic biology to AI designs to public health.
Find our more and apply on this link: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=13685&rmlang=UK
Postdoctoral Research Assistant in Quantitative Spatial Data Analysis for Colorectal Precancer https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_refresh_search=Y&p_recruitment_id=178283&p_form_profile_detail=&p_display_apply_ind=Y&p_process_type=&p_applicant_no=&p_company=10&p_internal_external=E&p_display_in_irish=N You will be responsible for managing your own academic research and administrative activities, and adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and developing new ones. Other responsibilities will include analysing quantitative imaging data from a variety of sources, including Spatial Transcriptomics and multiplex Spatial Proteomics platforms and developing skills in computational biology and mathematical spatial analysis via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, statistics, physics, engineering, data science or a related discipline, and have demonstrated ability to analyse and interpret complex multidimensional data. Experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming languages, libraries, and platforms is essential for this role, along with a strong interest in interdisciplinary research in the biological and medical sciences. Experience of applying software engineering best practices and experience of working with biomedical datasets, particularly cancer data and/or spatial data would be highly desirable for this position.
We are pleased to announce the opening of a scholarship with the possibility of accessing a Ph.D. position in Life, Health and Chemical Sciences as part of the project Microbiota-guided Radiotherapy for Head and Neck Cancer.
Project Focus The project will focus on analysing and integrating clinical, metagenomic, and imaging data to study the role of the oral microbiota in the radiotherapy treatment for head and neck cancers. Specifically, it involves applying causal inference and machine learning techniques to evaluate the effect of the salivary microbiota on the radiotherapy efficacy and its potential as a biomarker for treatment effectiveness.
Position Details Start Date: July 2025. Duration: 4 years. Location: Computational Model for Oncological Needs Laboratory (CMON Lab) at the National Cancer Institute (INT) in Milan, recognized as a leading institution in Italy and globally. The lab offers a multidisciplinary, cutting-edge environment for cancer treatment research and mathematical modelling.
Requirements Strong computational background with M.Sc. degrees in biostatistics, data science, bioinformatics, or related fields (or demonstrable work experience in these areas). Proficiency in programming languages such as R or Python is required. Knowledge of machine learning theory/methods and/or causal inference will be considered an advantage.
This position provides a unique chance to work at the intersection of mathematical modelling, metagenomics, and personalised medicine, contributing to innovative research that will influence future head and neck cancer treatment strategies.
Application Interested candidates can contact Dr. Jacopo Iacovacci: jacopo.iacovacci@istitutotumori.mi.it
Application deadline: May 18, 2025; Expected date of interview: June 17, 2025
We are seeking 1–2 postdoctoral researchers to join an interdisciplinary project at the intersection of systems biology, dynamical systems, and machine learning.
Based at SciLifeLab and Stockholm University, the project focuses on building predictive models that capture how biological form and function emerge and change over time. Ideal candidates will have a background in physics, mathematics, or a related field, with experience in modeling, time-series analysis, or nonlinear dynamics, and a strong interest in tackling fundamental questions in biology.
More info: https://su.varbi.com/en/what:job/jobID:813144/
https://su.varbi.com/en/what:job/jobID:815251/where:4/
Position Title: Postdoctoral Fellow Position Summary: Applications are invited for a postdoctoral position in the field of mathematical and computational biology in the recently created Mathematical & Computational Biosciences Collective (MCBC) at the New Jersey Institute of Technology. The position is initially for one year, with the possibility of renewal for up to three years, subject to satisfactory performance and the availability of funding. The start date is September 1, 2025, or earlier. Essential Functions: Conduct research in mathematical and computational biology at the interface of theory and experiments, take part in seminars, group meetings, journal clubs, help mentor students, and other research activities of the MCBC and the associated Departments of Mathematical and Biological Sciences. The ideal candidate would have an interest in building successful interactions with experimental scientists and experience in one or more of the following areas: (i) neuroscience, (ii) systems biology / biochemical systems, (iii) collective behavior, and (iv) machine learning / artificial intelligence.
The successful candidate will be co-mentored by a theorist and an experimentalist and will have the opportunity to interact with researchers in the pharmaceutical industry, IBM Research, and other industrial partners. In addition to research duties, the Postdoctoral Fellow might have the opportunity to teach one course per semester, subject to availability. Prerequisite Qualifications: A candidate should hold a PhD in the areas of applied mathematics, computer science, data science, quantitative biology, or other relevant disciplines. How to Apply: Please email (1) a cover letter with a brief research statement, (2) a CV, and (3) names and email addresses of three references to Profs. Casey Diekman (diekman@njit.edu) and Horacio G. Rotstein (horacio@njit.edu), with the subject line “MCBC Postdoctoral Fellow Application
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