Postdoctoral Fellow in Scientific Machine Learning and Mechanistic Modelling (Fröhlich Lab) Francis Crick Institute in United Kingdom

John Tsang at Yale University is hiring three postdocs in the Tsang Lab for research in systems immunology , computational biology , AI/ML , and immune cell trafficking/engineering . The lab aims to build a quantitative, predictive understanding of the human immune system: how immune states vary between people, how immunity develops across the lifespan, and how immune responses might be engineered to detect and cure disease. The work spans large longitudinal human cohorts, deep single-cell and s...

Doctoral Researcher in Probabilistic Machine Learning at Aalto University (Department of Computer Science, School of Science) in Espoo, Finland . This PhD opening focuses on probabilistic machine learning , statistics , applied mathematics , and computer science , with a research theme in biology-informed machine learning for dynamical systems . The project is centered on developing Biology-Informed Gaussian Processes (BioGPs) , Bayesian dynamical models that combine mechanistic ODE components w...

Postdoctoral Research Scientist / Senior Postdoctoral Research Scientist in Generative AI and Closed-loop Discovery at the Earlham Institute, Norwich, United Kingdom. This opening sits in Professor Ke Li’s AI for Biology Group and focuses on developing new generative AI methods for biological design, closed-loop discovery, and AI-guided design-build-test-learn workflows. The group is part of a newly established AI for Biology programme building on an established and well-funded research agenda i...

Two-year postdoctoral opportunity in Artificial Intelligence and Machine Learning at the University of Bath . The LinkedIn post from Tom Haines (Senior Lecturer at Bath) points to an Artificial Intelligence Research Associate role and notes that the position is connected to the Centre for AI and supported by initial funding from a prosperity partnership. This is a strong fit for candidates with research interests in Computer Science , especially AI/ML methods, data-driven systems, and related ma...

PhD Studentship: Bayesian Modeling of High-dimensional Structural Data at The University of Manchester, Department of Mathematics . This fully funded PhD project focuses on Bayesian modeling for high-dimensional structural data , with applications across biological sciences, social science, and engineering. The research aims to develop a comprehensive Bayesian learning framework for problems involving underlying covariance structures, conditional dependency graphs, and time-varying high-dimensio...