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Field
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⦁ Experience with CATIA and Python are advantageous What we offer We offer flexible working hours, excellent facilities and the opportunity to play an active role in shaping resource-saving manufacturing
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures. Knowledge in the field of ML security is desirable. Good Python skills, especially
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related discipline, is required. Basic knowledge and initial experience with experimental working methods (e.g. spectroscopy, laser physics) Fundamental programming skills and expertise, e.g., Python, Julia
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recognized quality standards. You have at least 3 years of relevant professional experience. You have good knowledge of shell and scripting languages (Python, bash, etc.). Your knowledge of the Linux
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someone who wants ownership, visibility, and scientific freedom. Your Profile PhD in molecular biology, bioinformatics, marine biology, or a related field Strong skills in R and/or Python and
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, or biophysical simulations. Demonstrated interest in biological systems, prior experience in biological modeling and in transcriptomic data analysis. Proficiency in programming (e.g., Python, R) and familiarity
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(ideally in Python and C++) Excellent mathematical and data analytics skills Ability to work independently and be self-motivated, but also have excellent teamwork skills Experience in medical image
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particular to separate natural variations and technical noise Expertise with geomagnetic activity indices, in particular Kp and Hpo Programming skills in Matlab and Python Very good command of English (spoken
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 8 days ago
science, or a related field Strong background in signal processing, data analysis, and statistical modeling Programming skills in Python and experience with reproducible workflows Experience working with
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sampling strategies in Python and C++ Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact Contribute to open-source software tools