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using Python and Fortran Experience using non-linear finite element software, e.g., Abaqus Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work
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data • Solid knowledge of R, python and/or similar programming languages • Experience with teaching scientific methods • Experience with interdisciplinary science • Interaction with nature
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Experience with force measurement techniques (e.g., AFM, micropipette aspiration) or image-based stress inference methods Solid programming skills (e.g. Python, MATLAB, C+) Exposure to active matter concepts
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, audio source-separation, audio analysis, statistical modeling, machine learning, and advanced programming in Python. Excellent oral and written communication skills in English. Personal suitability and
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Intelligence experience skills Python (for data analysis, automation, scripting, and simulations) Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work
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on experience with acquisition and analysis of human EEG and imaging data Proficiency using standard computational tools and skills with computational scripting (Python) Documentation of strong verbal and written
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of computational micromechanics. Knowledge of aluminium alloys. Experience using non-linear finite element software, e.g., Abaqus. Experience with programming using Python and Fortran. Experience with conducting
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on the public defence of the doctoral thesis being approved. Strong quantitative and computational skills are required for this position. Applicants should be proficient in R, Python, or equivalent statistical
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programming (e.g., Python, PyTorch/JAX, or similar) and computational skills are required for this position. Candidates must have excellent interpersonal and communication skills. Personal suitability and an
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(if applicable) Link(s) to public GitHub (or similar) repositories or other code portfolios demonstrating relevant programming experience (e.g., in C++, Python, or Java) (if available) If the thesis has been