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and/or analysing data (e.g. Bash, R, Python) We offer Excellent development opportunities, extensive training and an attractive remuneration package An exciting interdisciplinary and international
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(especially Python) and use of ML/NLP tooling (e.g., PyTorch/Transformers, spaCy), plus fundamentals in MLOps/experiment tracking (e.g., DVC/MLflow/Git). Very good written and spoken German and English skills
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reliability, or fault-mitigation techniques. Strong programming skills (C/C++, Python; hardware-description languages “e.g., HLS, VHDL” is a plus). Motivation to pursue a PhD and contribute to applied AI
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programming language (preferably Python) What we offer: A fully funded 75% doctoral position (TV-L E13) for up to 36 months • A competitive salary based on TV-L E13 for Bavaria • Enrollment as a doctoral
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well as European coastal and marine policies (especially EU-MSFD, EU-WFD and EU Nature Restoration Law) Experience in numerical model data extraction with Python and data analysis in R as well as experience in
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, modelling and simulation in CFD/FEA. Experience with scientific programming (at least Python and C++). Excellent written and spoken English. Very strong team working skills in international, interdisciplinary
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
and fUSI studies, including data analysis (e.g., Afni, Matlab, Python), MRI physics & sequence development, rodent handling, behavioral experiments and surgery. Our mission is to build a supportive and
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of visualisation, machine learning / AI, and human-computer interaction Very good programming skills (web-based visualisation, Python, and/or GPU programming) First experiences in the participation in research
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element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux operating systems Structured and analytical
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design processes from RTL to GDSII ideally, experience in using Design-Flow-Tools (i.e. Xcelium, Genus, Innovus) and script languages (especially Python) and AI frameworks (i.e. TensorFlow, PyTorch