19 coding-theory-"the"-"Humboldt-Stiftung-Foundation" PhD scholarships in Netherlands
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving efficiency. Partnering with Toyota and Demcon TSST, SMIP will showcase this innovation
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knowledge and tools to equip local decisionmakers to better deal with conflicting values in parallel transitions and requires an interest in both theory development and engagement with practice. The PhD
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subgroups—in shaping how teams collaborate and perform under pressure. By advancing knowledge on these dynamics, we seek to contribute to both scientific theory and practical solutions for organizations. Your
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deployment; Knowledge of at least one programming language (such as C, Sage, Matlab, Python); If possible, some experience with cryptography - good knowledge of algebra (including field and ring theories, and
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an interest in both theory development and engagement with practice. The PhD position is part of the larger AMBITIONS project involving TU Delft, Utrecht University, and Avans Hogeschool, working together
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in thermodynamics, optimization, and control theory. Strong understanding of mathematical modeling, numerical optimization, and/or model predictive control (MPC). Experience working with large-scale
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or Microwaves; For a perfect fit, you have affinity with device physics or IC design or microwave theory/measurements; Technically, you are among the smartest of your generation; You are keen to work with one
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) datasets. Capacity to convincingly connect concepts and theory to tangible heritage. General knowledge of (bio)archaeological subdisciplines. Previous work on cultural heritage and/or public archaeology. We
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Computational Linguistics, Argumentation Theory, and Social Network Analysis to (1) investigate how climate misinformation contributes to political polarization and (2) assess whether AI-generated, argumentative