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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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. Experience in scientific programming in C/C++, Python, Fortran, Mathematica or similar is required. The successful candidate will either hold a PhD in Physics or a related area, or alternatively will provide
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protein biochemistry, single particle cryo-EM or cryo-ET is an asset, curiosity and willingness to learn new methods and adjust to technological developments a must. Strong written and oral communication
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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming
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related field. Demonstrated expertise in analyzing high-throughput sequencing data and developing bioinformatics tools. Proficiency in programming languages such as Python or R, and experience with relevant
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., NEJM 2021) and is currently funded by the BMBF/SPARK-BIH program. The postdoc will also participate in the development of gene therapies for other types of congenital neutropenia and other pre-leukemia
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 3 hours ago
-nucleic acid interactions (the candidate with prior experience in structure biology and protein expression and modification is preferred. Experience in programming is a plus. Your qualification It is
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engineering methods (e.g., via CRISPR). Plan and execute experiments to probe robustness of tissue morphogenesis, particularly through quantitative imaging and large-scale molecular profiling (e.g., via scRNA
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experice in machine learning, mathematical methods, and mathematical analysis Programming experience Teamwork and ability to work in an international environment Good communication skills Profound knowledge
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language