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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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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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. 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
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/distributed programming and/or solid UNIX skills Practical experience with ML/DL workflows and common software libraries Your experience should be documented in research papers and Open Source code projects
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science, and applied plant research Example reading: Peleke, F. F., Zumkeller, S. M., Gültas, M., Schmitt, A., & Szymański, J. (2024). Deep learning the cis-regulatory code for gene expression in selected
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using ATB’s online application form for the job advertisement, code 2025-DS-PD-15, at https://www.atb-potsdam.de/en/career/vacancies . Applications received after the application deadline cannot be
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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 package Good communication skills in
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, module and pack level; > 200 test channels) Flexible working hours incl. work from home Own budget for further education and conferences Opportunity to spend time abroad TUM aims to increase the share
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strong publication history, including but not limited to conferences such as MICCAI, NeurIPS, ISBI, ICCV, ICML, ECCV, or others. Fluent familiarity with at least one coding language for ML or data analysis
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, methods, and algorithms into existing high-performance frameworks, the fast prototyping of new ideas in individual code, an interest in the entire simulation pipeline: starting from simple algorithms