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. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
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: Proficiency in Python, PyTorch, JAX, or other ML frameworks - Computing: Experience with large-scale datasets, parallel computing, and GPUs/TPUs. - Algorithm Development: Ability to develop and optimize Machine
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, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows; Excellent work planning and issue resolution skills; Strong technical, written, and verbal
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with hosts in other countries. Programme information for postdocs (PDF, 132 KB) Programme information for experienced researchers (PDF, 138 KB) Search for potential hosts in the Humboldt Network (German
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field or method, including, but not limited to, numerical methods, machine learning, or parallel and distributed computing. Expertise in a parallelization method (e.g., CUDA or ROCm, MPI, OpenMP
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Research Centre (EPRC). EPRC research covers a range of topics including energy demand, electricity markets, and energy efficiency. In 2017, the ESRI initiated a new, parallel research programme on Climate
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sampling of the parameter space of eclipsing binary observables, most notably photometric data from NASA’s Kepler and TESS missions. In parallel, the applicant will be given an opportunity to teach
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will join Andrej Prsa’s research team and work on the PHOEBE code , advancing our understanding of the processes in contact binary stars. In parallel, the applicant will be given an opportunity to teach
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personal (marriage or civil partnership) or familial (parents, siblings, children) relationship cannot be selected as hosts. Programme information (PDF, 151 KB) Information for academic hosts Information
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written and verbal communication skills. The ideal candidate should have experience with LINUX, STAR-CCM+, ANSYS, Fluent, COMSOL, MATLAB, Simulink, and Python. Experience with parallel computing is a plus