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Field
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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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of the global supply chain. Most ways to model the stochasticity involve introducing nonlinear terms in the mathematical formulation. It is your goal to investigate how well machine learning methodology can be
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stable and scalable, and creating the next generation of vision-language models in hyperbolic space. Specifically, we are looking for one PhD student with a keen interest in the theoretical side
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verification tools. AMS test diagnostics and fail-log analysis. Your Role as a PhD Candidate You will: Analyze and enhance current automotive IC test flows. Develop new or improved fault models using NXP’s in
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, consisting of 24 partners from a wide-range of disciplines in future climate model development, paleo-climate data collection, and applied mathematics.
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researchers from TU Delft and Meta Platforms as a PhD student in the newly established FUSE Lab! Job description As generative artificial intelligence is transforming the daily work of software engineers, TU
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MSc, MA or MPhil degree in business or economics, or from related fields such as psychology, sociology, engineering, or mathematics (depending on PhD project) have excellent results in your first degree
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or ecological economics, environmental science, sustainability science or a related field. You have experience with quantitative research methodologies, including mathematical programming or scenario modelling
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The Mathematical Institute is looking for a PhD candidate to join the project Patterns in Random Media under the supervision of Hermen Jan Hupkes PhD: Patterns in systems with noisy coefficients
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Universiteit van Amsterdam, Korteweg - de Vries Institute for Mathematics Position ID: 1729-PHD [#27043] Position Title: Position Location: Amsterdam, Noord-Holland 1091, Netherlands (Kingdom