Drug Design
Drug Design
Dr Jean Christophe Poncer
The i-Bio initiative of Sorbonne University aims to promote biological research through the application of approaches and concepts from other disciplines, such as from mathematics, physics, chemistry, engineering and computer science. For 2021, i-Bio is offering 4 PhD positions that cover a wide range of interdisciplinary research topics. Besides their work in the laboratory, PhD students will benefit from a variety of educational programs and access to top quality research facilities, training initiatives, international partnerships and conferences. A PhD position is now open in the Poncer Lab at Institut du Fer à Moulin (Paris) in collaboration with the Acher Lab at CNRS/Univ. of Paris. The project will combine i) advanced molecular modelling and virtual screening to design novel chemical compounds targeting neuronal chloride transport and ii) in vitro and in vivo biological assays in order to evaluate their therapeutic potential in epilepsy.
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Manchester: Postdoc in probabilistic machine learning and sustainability; collaboration with an outstanding sustainability team - Univ Manchester is top in the UK and Europe, and 3rd in the world in the QS World University Ranking for Sustainability. This position belongs to the European Lighthouse of AI for Sustainability ELIAS. Helsinki: Probabilistic modelling and Bayesian inference for Machine Learning, ML for drug design, synthetic biology and biodesign, with differential privacy, for personalized medicine, for next-generation distribution shifts, or for collaborative machine learning.
Samuel Kaski
Thinking about the next position for your research career? I am hiring postdocs in my machine learning research group both in Helsinki, Finland and Manchester, UK. We develop new machine learning methods and study machine learning principles. Keywords include: probabilistic modelling, Bayesian inference, simulation-based inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, active learning, human-in-the-loop learning and user modelling, privacy-preserving learning, Bayesian deep learning, generative models. We also solve problems of other fields with the methods – and use those problems as test benches when developing the methods. We have excellent collaborators in drug design, synthetic biology and biodesign, personalized medicine, cognitive science and human-computer interaction.
Samuel Kaski
Thinking about the next position for your research career? I am hiring postdocs in my machine learning research group both in Helsinki, Finland and Manchester, UK. We develop new machine learning methods and study machine learning principles. Keywords include: probabilistic modelling, Bayesian inference, simulation-based inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, active learning, human-in-the-loop learning and user modelling, privacy-preserving learning, Bayesian deep learning, generative models. We also solve problems of other fields with the methods – and use those problems as test benches when developing the methods. We have excellent collaborators in drug design, synthetic biology and biodesign, personalized medicine, cognitive science and human-computer interaction.