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software projects, as are skills in software development and debugging Experience in static and dynamic program analysis (lectures on compiler construction, code analysis, knowledge of assembler, etc.) as
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Biology, Physiology, or a closely related discipline Demonstrated expertise in molecular biology techniques (including metagenomics), bioinformatics and coding skills (R, Python, or equivalent) Proven
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that consists of your name and the code “Predocs_PB2_25.1” (e.g. “Max_Mustermann_Predocs_PB2_25.1”). The application deadline is April 28th , 2025, 23:59:59. Unfortunately, application expenses cannot be
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all relevant certificates, curriculum vitae, and academic history including the reference code "IP Vital PostDoc Ergo" until 30th of April 2025 preferably by mail to bewerbung(at)ifado.de . Alternative
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welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX
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the BMC Code of Conduct , which actively promotes diversity and equal opportunities. Destination Germany Do you have questions about visa requirements or degree recognition? Are you looking for housing
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-unterstütze Simulation« team offers you exactly that. What you will do Optimizing existing code for electronics application considering multi-CPU and multi-GPU usage (implementation in jax and/or numpy and/or C
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 2 months ago
Job Code: 2025-BudgetOfficer-6000 Job Offer from May 09, 2025 The Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG )is an institute of the renowned Max Planck Society conducting
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. Prerequisites Doctoral degree with quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software