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26 Feb 2026 Job Information Organisation/Company INSERM U1112 Research Field Medical sciences Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 1 Apr
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Education: PhD in Immunology, Molecular Biology, Biomedical Sciences, or related field. Experience: Tumour immunology, T cell biology, or immunotherapy; murine models and in vivo work; adoptive transfer
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codes is essential. Experience with modelling conjugated organic molecular-based systems (e.g. electronic structure, charge transport) would be particularly highly valued. Experience in coding with Python
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approaches to study the molecular changes that occur in susceptible and resistant genotypes of crop and model plant species. The plant and pathogen genes identified in these studies are providing insight
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by logging into their existing Workday employee account. Position Summary: The laboratory of Dr. Lucia Carvelli at the Stiles-Nicholson Brain Institute (http://www.ibrain.fau.edu/lucia-carvelli.php
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to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting
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methods so that design decisions can be understood, validated, and trusted. As a postdoc, you will: Develop generative AI models (e.g., variational autoencoders, diffusion models, or reinforcement learning
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-023-00635-7 ) Information on our postdoctoral training program, benefits, and a virtual tour can be found at http://www.utsouthwestern.edu/postdocs . Interested individuals should send a CV, cover
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include Boltzmann Generators [1 ,2 ], Surrogate-model Assisted Molecular Dynamics [3 ], and Implicit Transfer Operators [4 ,5 ]. The Postdoc will lead both the conceptual development in close collaboration
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
Center is a multi-disciplinary research center with various current translational studies. Our laboratory is interested in understanding the molecular mechanisms of HIV latency and persistent HIV infection