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hydrodynamic coastal flow fields using SWAN, SWASH, SCHISM or a comparable model; writing python code to advect virtual macroplastic items in these flow fields using the Parcels-code.org framework; exploring
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and proficiency in Python (preferred) and/or MATLAB for data analysis are required. Experience with the assessment of masonry structures under multiple loading hazards. Language: Excellent command
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research, reflected in publications or other research outputs. Strong programming skills in Python and experience with scientific computing environments. Experience in one or more of the following areas
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interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
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multi-disciplinary project. You also possess: a successfully completed MSc degree (120 ECTS points) in Human Nutrition, Food Science, or a closely related field; strong quantitative skills (e.g. R, Python
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Knowledge and background in working with optical laboratory setups (incl. lasers, detectors, free-space or fibre based optics), real-time data acquisition or experience in programming & modelling (eg. Python
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Some experience with designing, conducting, and analyzing quantitative research (experience conducting research with young children is advantageous) Good programming skills (in R, Python, or similar
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, or related fields. Strong programming skills in Python. 0–3 years of relevant experience. Experience building data processing pipelines (ingestion, cleaning, transformation, feature extraction, evaluation
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an asset. Your motivation, overall professional perspective and career goals will also be explored during the later stages of the selection process. You should also have: Knowledge of: Python Machine
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security. Knowledge of at least one programming language: Matlab, Python, is expected. Eager to work within a team and independently. Ability to collaborate with industry and academic researchers. Fluent in