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simulations of CG model enzymes and their constructs to optimize the overall catalytic activity. The work will be done in collaboration with Prof. S. Kondrat from the Institute of Physical Chemistry in Warsaw
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Computer Science, Mathematics, Physics Engineering or in a similar field. Alternatively an excellent masters degree with professional experience Very good knowledge and proven skills with larger deep learning
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training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks for self-supervised learning in science Engage in national
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university degree (Master) with subsequent PhD in Applied Mathematics, Mathematical Biology, Computational Physics/Engineering or related fields with strong relation to scientific computing Recent experience
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France. Your Profile: Successfully completed scientific master’s degree and PhD in the field of Physics, Chemistry, Materials Science or a comparable field with excellent final grades Excellent knowledge
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respect to the identification and functional annotation of genes involved in, for example, cell wall degradation, carbon flux etc. Screening metagenomic and genomic data using deep learning methods in order
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are developing an innovative High Performance Computing (HPC) solver for the simulation of multi-modal energy system with founding from Helmholtz Foundation and DFG. Your areas of research / tasks will include