63 coding-"Multiple"-"Humboldt-Stiftung-Foundation"-"Duke-University" PhD positions in Netherlands
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- University of Amsterdam (UvA)
- Delft University of Technology (TU Delft)
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- Amsterdam UMC
- DIFFER
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- University of Amsterdam (UvA); Published 14 Nov ’25
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Published today
- Wageningen University & Research
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designed to address complex problems, particularly in scenarios where there is no clear or well-defined solution. SSM emphasizes understanding problems from multiple stakeholders' perspectives, facilitating
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high infrastructure costs. We will explore (1) learning-based techniques (e.g., LLMs, agents) to capture the intent behind code changes, (2) defining new metrics for test "quality" that go beyond code
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Delft about the new insights we gather. We will focus on open science, sharing our results to help developers across the world. Automated Code Refactoring The focus is on exploring and evaluating
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Park we offer you multiple fringe benefits: 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and Learning
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relevant for wafer handling. Silicon is a very complex material, undergoing multiple phase transformation, with some phases showing extensive plastic deformation, during mechanical loading and contact
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the topic), and a writing sample such as part of a master thesis or a publication (in case of a publication with multiple authors, please indicate which parts you wrote). The motivation letter and writing
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processes and help collectives envision and develop the organisational and digital tools required for broader participation. You will be part of a cohort of 11 PhD candidates from multiple Dutch universities
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clinical data. Coordinating patient inclusion, data collection, and analysis across multiple NICUs in five European countries. Harmonizing protocols across study centers and engaging with families to gather
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, linking climate data and material behaviour across multiple scales. Particular attention will be paid to how environmental factors accelerate damage, affect healing processes, and alter material properties
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geometry altogether and operate in hyperbolic space. Our lab has published multiple papers showing that hyperbolic deep learning has strong potential for computer vision, from hyperbolic image segmentation