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of individual Milky Way-like galaxies Programming in Python, C/C++ and/or Fortran, and experience in parallel code development Experience in the development and use of tools for analysis of output of hydrodynamic
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platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
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for master’s studies for Belgians or Luxembourgers Scholarships for (pre)doctoral or post-doctoral research or lecturing for Belgians or Luxembourgers Travel and accommodation for Teaching Assistants Programme
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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
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control. These innovations enhance efficiency, power density, reliability, cost-effectiveness, and sustainability across applications. In parallel, we advance microgrid technologies, supporting developing
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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
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. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages such as python. Experience with HPC environments and linear algebra
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theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging, and deployment
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programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or large-scale data centers