423 programming-"the"-"DAAD"-"EURAXESS"-"Humboldt-Stiftung-Foundation" PhD positions in Netherlands
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- Delft University of Technology (TU Delft); yesterday published
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- Maastricht University (UM); 26 Sep ’25 published
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- University of Amsterdam (UvA); 26 Sep ’25 published
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Anthropology). In this team you will work You will join the Cultural Sociology program group at the Amsterdam Institute for Social Science Research (AISSR). The group studies how people produce meaning, create
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project independently (although supervision by expert researchers will be provided); Study literature; Develop research plan; Experimentation and data processing; Biofunctionalization of interfaces; Optical
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field. Graduation from a two-year Master’s programme (120 ECTS) is an advantage. Research skills – Knowledge of econometric methods, statistical software (e.g., Stata or R), or experience with economic
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. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and
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in high-level programming languages such as Python or R; excellent scientific writing skills in English; a strong interest in environmental characterization; a proactive, inquisitive, enthusiastic, and
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& industrial partners will train 14 PhD fellows (3 of which are to be hired through this call). What GenAIDE offers you: A structured, four-year PhD training programme that mixes: personalised PhD training paths
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will be offered a course program tailored to your needs and the research team. The gross salary for the first year is € 3059,- per month rising to € 3881,- in the fourth year in according
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year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be
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programming experience with Python are beneficial but not required. We particularly encourage women and candidates from other groups which are currently under-represented in academic posts. The preferred
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/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key