199 parallel-programming-"Multiple"-"Humboldt-Stiftung-Foundation" PhD positions in Netherlands
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expected. A PhD training programme is part of the agreement, and the successful candidate will be enrolled in the Graduate School of Science and Engineering. Applications must include: Letter of motivation
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Strong programming skills in Python (please mention your level of proficiency and knowledge of other programming languages in your CV and motivation letter) Extraordinary motivation for scientific work
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. The position also includes an extensive training programme. The PhD candidate will be supervised jointly by associate professor Mike Huiskes, assistant professor Joanna Chojnicka and assistant professor Dimitris
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the next 3 years is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering at the University
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the Mobilization of Conflict Narratives on Social Media” and contribute to teaching in selected BA/MA programmes at the Faculty. The position also includes an extensive training programme. The PhD candidate will be
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of the contract is contingent on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next 3 years is to be expected. A PhD training programme is part of
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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 enrolled in the Graduate School
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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
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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 enrolled in
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energy systems. Proficiency in programming, ideally in Python or similar languages, with a focus on open-source modeling and handling large datasets. Familiarity with urban energy planning, climate