202 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Delft University of Technology (TU Delft) in Netherlands
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. Partially paid parental leave Attention for working healthy and energetically with the vitality program. Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as
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considered an asset. If you don’t speak Dutch, you should be willing to learn the language, as your home base at TU Delft is bilingual. Interests in contributing to research acquisition, program development
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, or optical detector characterisation. Experience measuring spectral responsivity, quantum efficiency, dark current or noise is an advantage. Ability to analyse experimental data and use scientific programming
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mentoring, opportunities to co-supervise students, and access to TU Delft’s training programme. This vacancy is positioned within the globally recognized Department of Hydraulic Engineering (HE), known
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-behaviour literature; consolidating them into a Programme of Requirements; and formulating and implementing a mathematical model that assigns spaces and time slots in response to demand patterns, pricing
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the individual choice budget. Plenty of opportunities for education, training and courses. Partially paid parental leave Attention for working healthy and energetically with the vitality program. Will you need
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, training and courses. Partially paid parental leave Attention for working healthy and energetically with the vitality program. Will you need to relocate to the Netherlands for this job? TU Delft is committed
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, Biomedical Engineering, or a related field. Further, you have: Open-mindedness and strong motivation to embark on interdisciplinary research Solid programming skills Experience with experimental research
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provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related
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atmospheric datasets using programming languages such as Python, MATLAB or R. Experience with atmospheric data processing, quality assurance and statistical analysis. A strong publication record of peer