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Field
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skills in Python and Matlab Very good English skills and basic German skills Our offer A vibrant research community in an open, diverse and international work environment Scientific excellence and
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optimisation or machine learning (e.g., Python/Matlab/C++; PyTorch/TensorFlow). Experience in signal processing/wireless or SDR/GPU prototyping is a plus. Demonstrated research potential is highly desirable
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and open team Any educational and/or research experience in the field of cryptographic implementations (coding in C, Assembly, HDL), side-channel and fault attacks (coding in Python, Matlab, lab
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, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab
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, MATLAB, or similar tools. Experience in theoretical modelling (DFT, TDDFT, FDTD, COMSOL, etc.) is an advantage. Interest in scientific collaboration with experimental and theoretical groups. Ability
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and scored: A. Knowledge of Matlab, Python, R and/or C++ (advanced level). These will be assessed based on accredited training hours (0.5 points for every 10 hours of training, up to 5 points for each
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Matlab, Python, R and/or C++ (advanced level). These will be assessed based on accredited training hours (0.5 points for every 10 hours of training, up to 5 points for each course) and accredited project
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Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk
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• Knowledge of statistics and/or data science • Knowledge of Matlab, Python, or a similar programming language • Some research experience (e.g., in the form of a conference contribution, a publication, or a
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of Python and Matlab will be valued LanguagesENGLISHLevelGood Years of Research ExperienceNone Additional Information Selection process How to apply: Interested candidates must send their applications