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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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background in biochemistry and molecular biology. Ability to design and execute experiments as demonstrated by publication record. Preferred Qualifications: ● Excellent oral and written scientific
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preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations (broadly defined), molecular dynamics
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
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, molecular biology, infection biology or a related field. Experience with virology methods, preferably with a track-record in RNA viruses Experience with cryogenic electron tomography (cryo-ET) Experience with
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Molecular Biology seeks a postdoctoral researcher who will work with gut microbial modulation
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computational science, contributing to a pioneering effort to integrate molecular and mechanical insights in developmental biology. Your tasks Develop computational pipelines to integrate single-cell
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possession of a doctoral degree in the field of nature sciences (molecular biology, biochemistry), biomedicine and health (medicine, veterinary medicine) or biotechnology sciences (biotechnology, molecular
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possession of a doctoral degree in the field of nature sciences (molecular biology, biochemistry), biomedicine and health (medicine, veterinary medicine) or biotechnology sciences (biotechnology, molecular
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of CIMAP laboratory - Centre de recherche sur les ions, les matériaux et la photonique (Caen, France). She/he will be involved in research activities related to the SMILEI project (Storage of Molecular Ion