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and closed-loop automation systems. Co-authorship on a scientific publication. Prior experience or undergraduate-level coursework with a basic programming language for data analysis (Python, MATLAB, R
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programming skills (Python, MATLAB), excellent communication and ability to integrate numerical modelling, sensor technologies, and occupant-focused design. Experience in thermodynamics, building physics
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structural mechanics. Be comfortable in at least one high-level programming language such as Python or Matlab. Be enthusiastic about interaction with Dutch industry partners to help realize and implement
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(Python, Matlab, etc.) as well as in modeling polymerization processes or using machine learning techniques is highly desirable. Good command of written and spoken English is a must (if preselected, an
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automation software (e. g. Hamilton Venus), scripting, or workflow scheduling (e.g. HighRes Cellario) and experience with standard programming languages such as Python, C++, Matlab or R Understanding of assay
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, Maritime Studies, Transportation Engineering, Computer Science/Data Science, or a related discipline. Excellent programming skills (Python, Matlab, etc.). Excellent proficiency in English (written and spoken
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or environmental science. Familiarity with climate modelling is an advantage. Programming skills (in MATLAB or Python) are considered a strong asset. Applicants should also have a very good level of written and
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-level optimisation using TRNSYS and MATLAB/Python. The associate will use advanced characterisation (e.g., DVS, porosimeter, DSC/LFA) to develop and assess adsorption composites, and apply CFD to analyse
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of programming languages (Matlab, Python, etc.), for post processing development; • Fluent English, both written and spoken; • Ability to work in a team on multi-disciplinary projects Candidates must hold a
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(spike sorting, calcium imaging, long-term tracking). • Experience with behavioral tracking and multimodal dataset integration. • Proficiency in Python, MATLAB, scientific computing, and pipeline