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. Experience with programming (for example Python/Matlab) and image analysis is highly recommended. Please share your GitHub code repository if you have one. In assessing the applications, special emphasis will
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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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inference methods Solid programming skills (e.g. Python, MATLAB, C+) Exposure to active matter concepts (e.g., nematic/polar order, topological defects) Interest in developmental biology, mechanochemical
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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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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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to NeuroPathways Familiarity with quasi-experimental methods for causal inference Familiarity with administrative register data or other types of big data Familiarity with R, Stata, Python, or other relevant
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electricity/electronics, chemistry, and optics, as you will be working with advanced custom instrumentation. Experience with programming (for example Python/Matlab) and image analysis is highly recommended
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in English. Desired qualifications: Knowledge of computational methods and programming skills (e.g., R, Python). Knowledge of a Scandinavian language may be an advantage for teaching and supervision
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communication skills in English Proficiency in programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant courses
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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