34 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"HFML-FELIX" PhD positions in Netherlands
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visit the ESA website: https://www.esa.int Field(s) of activity/research for the traineeship As a Luxembourgish National Graduate Trainee, you will have the opportunity to: support the Spaceship and
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economics is built into the project and delivered at VU Amsterdam. The ATLANTIS website will share project updates, team news, and findings over time: https://teamatlantis.eu Faculty of Law At the Vrije
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University of Amsterdam | Amsterdam Noord west, Provincie Noord-Holland | Netherlands | about 22 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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(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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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
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neuromorphic computing. Programming experience in Python and/or C/C++. Experience with EDA tools (e.g., Cadence, Synopsys, Vivado) is considered an advantage. Interest in emerging