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analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your skills in scientific computing and hyperspectral data processing. You have
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. Desirable Demonstrated knowledge/experience in: multiphase flow porous media flow microfluidic fabrication and experiments 3D printing surface chemistry Demonstrated programming skills in: Matlab C++ Python
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have: An MSc degree in Biomechanical Engineering or a closely related discipline by the start date of the position (September 2026) Experience in scientific programming (e.g., Python, Matlab) Experience
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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particularly suitable for a PhD education You must meet the requirements for admission to the faculty's Doctoral Programme Motivation to get proficient in Python and Brightway Interest in sustainability science
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methods (e.g., coding in Python/R, working with APIs, scraping data, building or applying models). • Can bridge theoretical insight with concrete technical implementation and empirical analysis. • Is
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is an advantage. Experience with programming (e.g., R, Python) and statistical analysis is highly desirable. Motivation to work in a collaborative, interdisciplinary research environment and good
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systems, large language models, agentic AI, or scientific software development, especially in industry or research settings. Strong software engineering skills, proficiency in Python programming, experience
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programming experience in one or more languages such as Python, R, or MATLAB. Experience working with marine / environmental observation systems, sensor data, and / or remote sensing. Experience handling large
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of the following: A solid foundation in programming (particularly Python) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). An interest in AI security, trustworthy ML, or the reliability of ML