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. Approaches researched: molecular dynamics, quantum simulations, machine learning/AI, and high-throughput computing. Required: Mgr./MSc. in chemistry, physics, computer science, or a related field If you are
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tender for external recruitment of a Full Professor, in the area of Biochemistry, subfield of Biocatalysis, with an emphasis on Enzyme Engineering and Molecular Enzymology Reference 002/TI/PC/2026 1. In
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of high pathogenic avian influenza virus. The aims are to investigate spread of high pathogenic influenza virus among birds and mammals using both molecular biological and serological data. Determine
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perspectives, the University contributes to a better future. The Department of Chemistry and Molecular Biology conducts high-quality research and education in chemical sciences and molecular life sciences. Our
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simulations to study various production routes and work on the associated targertry with the expert nuclear physicists and radiochemists from Subatech laboratories in Nantes. The student will also be involved
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 28 days ago
project No. 25-14529L - RE-free magnetoelastic materials for efficient and environmentally friendly cooling” in colaboration with Polish experimental partner (Institute of Molecular Physics of the Polish
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 13 days ago
joint project between the laboratory “Reproduction et Développement des Plants” at Ecole Normale Supérieure at Lyon (https://www.ens-lyon.fr/RDP/ ), Mosaic team at Inria Lyon (https://team.inria.fr/mosaic
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, cryopreservation, flow cytometry, biochemical analyses (enzyme activity analyses, spectrophotometric and fluorescence assays), molecular techniques (ELISA tests, isolation of genetic material, PCR and qPCR reactions
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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this goal, doped-diamond systems will be considered. The thermal stability of selected compounds under operating conditions will be assessed by means of molecular dynamics simulations with Machine Learning