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The Learning Machines group seeks motivated PhD students to join our team working on learning in physical systems. What are learning machines? Imagine your favorite artificial intelligence machine
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addressing scientific and technological challenges. The primary technical responsibility of the candidate will be to create and apply generative machine-learning models for the inverse design of nanomaterials
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to engage in a research initiative focused on addressing scientific and technological challenges. The primary technical responsibility of the candidate will be to create and apply generative machine-learning
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computational materials modelling is required, with demonstrable hands on experience with density functional theory simulations. Experience with molecular dynamics and machine learning is advantageous
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Centrum Wiskunde & Informatica (CWI) has a vacancy in the Machine Learning research group for an enthusiastic talented Postdoc on the subject of Adaptive Sequential Testing. Job description CWI is
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description Optimization for and with Machine Learning (OPTIMAL) is a Dutch research project funded by NWO (2020-2025). It is a collaboration between researchers from the University of Amsterdam, CWI, Tilburg
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dynamics of cells that remains invisible with other techniques. You will develop AI training and inference approaches using our unique multi-parameter data-sets and extensive Machine Learning expertise
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-Dutch academic environment. You have a PhD in Computer Science, Artificial Intelligence, or Physics and have experience with machine learning. You have strong programming skills (Python or Matlab). You
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Centrum Wiskunde & Informatica (CWI) has vacancies in the Stochastics research group for three talented PhD students, on the subject of “Machine Learning for Combatting Cybercrime”. Job description
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that are relevant for semiconductor manufacturing and uses tomographic techniques in combination with inverse design and machine learning tools. The aim is to determine the possibilities and limitations of the use