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Field
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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bioinformatics such as Python, R, EdgeR, Cytoscape, ggtree, etc., as well as courses in data visualization and web development will be considered. At least 2 publications as first author and more than half a dozen
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-motivation and interest to learn new skills Great to have: Experience programming in Python, Julia, or C/C++ Experience with Mathematica Experience with finite element methods, agent-based simulations, and/or
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
(Python, Supervised learning, Multi-objective optimization) Additive manufacturing of metals Corrosion characterization Mechanical testing Great emphasis is put on personal qualities such as the ability
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, Engineering, Mathematics, Psychology, Linguistics, and/or other relevant areas Previous experience in participating in research projects (e.g., data collection, analysis). Strong programming skills (Python
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programming skills (e.g., Python and/or Matlab) are expected. Your workplace and main supervisor will be at the Swiss Federal Research Institute WSL in Birmensdorf (approx. 20 min outside of Zurich
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dynamics, numerical modeling, and scientific programming is required. The following areas of expertise are considered beneficial: Experience in scientific computations using Python, C, C++. Experience in
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 10 days ago
limited to Python, OpenCV, PyTorch, Unreal Engine and C++ Good oral and written communication skills in English A natural team player and detailed-oriented person Some academic background or general
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in mechanical engineering, electrical engineering, computer science, AI, or related field, with outstanding study results. DESIRABLE REQUIREMENTS: Programming experience in Python, particular
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science, or a related field. Strong background in quantitative methods and statistical analysis. Experience with computational tools for large-scale data analysis (e.g., Python, R, SQL). Familiarity with