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University of Amsterdam | Amsterdam Noord west, Provincie Noord-Holland | Netherlands | about 2 hours ago
start date; - have a solid grounding in general relativity and/or gravitational wave astrophysics; - have experience in scientific programming (e.g., Python or C++); - can communicate clearly in
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Vrije Universiteit Amsterdam (VU) | Amsterdam, Provincie Noord-Holland | Netherlands | about 11 hours ago
A master’s degree in computer science, mathematics, or a related subject. Experience with functional programming (e.g., Haskell) or proof assistants (e.g. Rocq, Agda, Lean). Good communication skills
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(satellite) earth observation (e.g., radiative transfer modelling, data-driven (ML/DL) modelling, time-series, data assimilation), and willingness to delve deeper into these topics. Good programming skills
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topics. Good programming skills; experience with C, C++, Fortran or a matching. programming language. Good communication skills and proficiency in written and spoken English. A good team spirit. Some
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, building, programming, and validating measurement setups. You have experience with, or are motivated to learn, digital signal processing and analysis of time-domain measurement data. You have programming
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); strong analytical and statistical skills; strong programming skills in R (or willingness to learn); robust methodological training in quantitative research methods; affinity with research on
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affinity for language data; solid programming skills (e.g., Python) and experience with machine learning or NLP, ideally including transformer-based models and word embeddings; excellent English
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performance over time. We're looking for a candidate with a strong background in epidemiology and quantitative methods, solid programming experience in R. The project is part of a national research program on
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engagement and participatory research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific
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related discipline; An interest in the impacts of land use; Experience in handling spatial data; Programming experience in Python, and/or R; Proficiency in English; and The ability to work as part of