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., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data
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Independent supervision of students and doctoral candidates Support in the further development of the Bachelor en Formation Pédagogique program and in the expansion of networks with stakeholders and partners
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proteomic analyses often obscure the intricate cellular and molecular variations within this complex environment. Single-cell proteomics (SCP) offers a novel approach to dissect this heterogeneity by
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metabolism in rare and more common neurodegenerative or neurometabolic diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover new enzyme functions, and elucidate
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Responsibilities: Ensure communication with internal and external stakeholders Organize and prepare content/analysis for project events, such as stakeholder meetings and policy briefs Network with researchers and
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considered an asset Training and experience in quantitative empirical methods Good command of multivariate and complex statistical methods International publications in peer-reviewed journals and / or book
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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
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research environment with advanced training opportunities, embedded in a networked research community at the interface of chemistry, physics, and astronomy Werequire: PhD in Physical Chemistry, Physics, or a
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complexes dynamic assembly and enzymatic activities within the supramolecular platform. 2 - Investigate the stress sensing mechanism(s) by the luminal domain of this important kinase in charge of restoring
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modelling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems. The project brings together a