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pulse propagation, the material response, and other aspects of our experiments. Coding in Python Assisting with the filing and generation of intellectual property and technology transfer Assisting in
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep molecular analysis of the detected tumor clones. The postdoc (f/m/x) will build
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, conversion, and utilization in different electro- and thermo-mechanical systems where the study of heat transfer, fluid mechanics, reactive flows, as well as solid mechanics plays a central role. In particular
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modelling tools are required. Robust modelling and programming abilities (e.g., Python) are essential prerequisites. Experience with VIC (or similar hydrologic models), GIS, and large-scale computing
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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software
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multiome RNA-seq, ATAC-seq and massively parallel reporter assays (MPRAs) for unbiased genome-wide analysis for understanding the phenotypic plasticity in different cancer cell states. Work tasks The work
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-singing gesturing practices in three different vocal performance traditions: beatboxing, European art song, and karnatak vocal music from South India. The candidate is not expected to have previous
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., CNNs, UNets, Transformers) Demonstrated experience working with satellite data, particularly SAR and multi-spectral imagery Strong programming skills in Python and hands-on experience with deep learning
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is lost due to difference in operating conditions. This postdoc position will analyze oxygen evolution catalysts for water electrolysis at 30 bar and 80 °C. A major focus will be on stability, thus we
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environmental datasets; proficiency with Python, MATLAB, or similar scientific programming environments. Ability to work with large datasets, develop reproducible workflows, and apply modern data science tools