396 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "FCT NOVA UNIDEMI" PhD positions in Netherlands
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- Delft University of Technology (TU Delft); Published yesterday
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- Delft University of Technology (TU Delft); Published today
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- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); today published
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- DIFFER; Published yesterday
- Delft University of Technology (TU Delft); Published 31 Oct ’25
- Delft University of Technology (TU Delft); yesterday published
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- Eindhoven University of Technology (TU/e); Published 7 Nov ’25
- Eindhoven University of Technology (TU/e); yesterday published
- Erasmus University Rotterdam (EUR); Published today
- Erasmus University Rotterdam (EUR); yesterday published
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- Maastricht University (UM); Published today
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- University of Amsterdam (UvA); Published 14 Nov ’25
- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); Published 28 Nov ’25
- Utrecht University; yesterday published
- Vrije Universiteit Amsterdam
- Vrije Universiteit Amsterdam (VU); Published 31 Oct ’25
- Wageningen University & Research; Published 14 Nov ’25
- Wageningen University & Research; Published 21 Nov ’25
- Wageningen University & Research; Published 28 Nov ’25
- Wageningen University & Research; Published yesterday
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through compensation hours. Flexible working hours and the option to work partly from home, with commuting and internet allowances. A solid pension plan via ABP, company fitness options, and access to UM
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in Amsterdam is fully arranged and covered by the internship program. You will also receive a monthly stipend of 1200 euros to help cover your daily expenses. Requirements Include in your application a
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development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. The terms of employment at Maastricht
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workflows; some experience with AI and machine learning methods to label texts (NLP) or data sources; strong programming skills (e.g., Python, RDF) and some skills in web-based data retrieval; good English
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application letter. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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scholars who have made valuable and innovative contributions to science or scientific practice. These contributions may relate to the themes identified in the Recognition & Rewards programme : research