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motivated PhD candidates that, combining model-based (physics) and data-driven (machine-learning) approaches, will develop innovative, highly accurate and highly efficient solvers for rarefied gas flows
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of the Amsterdam Machine Learning Lab of UvA and researchers at the Dutch semiconductor manufacturing equipment company ASML. Qualifications You need to meet the requirements for a doctors-degree and must have
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structures like nanosheet transistors that are relevant for semiconductor manufacturing and uses tomographic techniques in combination with inverse design and machine learning tools. The aim is to determine
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molecular dynamics and machine learning is advantageous. Programming skills (Python) are welcomed, and as is previous experience with Linux. An interest in materials physics and chemistry is needed, with a
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Job description ASML Photolithography machines play a central role in the production of ever smaller and faster microchips and represent high-precision systems of enormous complexity. Water cooling is
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Job description ASML Photolithography machines play a central role in the production of ever smaller and faster microchips and represent high-precision systems of enormous complexity. Water cooling is
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Job related to staff position within a Research Infrastructure? No Offer Description ASML Photolithography machines play a central role in the production of ever smaller and faster microchips and
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Job related to staff position within a Research Infrastructure? No Offer Description ASML Photolithography machines play a central role in the production of ever smaller and faster microchips and
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Irène Curie Fellowship No Department(s) Mechanical Engineering Reference number V35.7384 Job description ASML Photolithography machines play a central role in the production of ever smaller and
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Irène Curie Fellowship No Department(s) Mechanical Engineering Reference number V35.7383 Job description ASML Photolithography machines play a central role in the production of ever smaller and