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computing (SC)? Are you fascinated by the emerging field of machine learning (ML)? Are you our next PhD-candidate in scientific machine learning or SciML (combining SC and ML)? Are you eager to work on the
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surrogate models. Applying symbolic reasoning to define and analyze system components and their interactions. Merging machine learning with symbolic AI to enhance system (performance) monitoring. Advancing
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advancements in computer graphics, leveraging techniques from the filmmaking industry to create visually compelling representations of complex brain datasets. Collaborate closely with renowned neurosurgeons
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? • Are you fascinated by the latest developments in self-supervised learning and generative models? • Are you excited to work on perception tasks for safety-critical systems using the next-generation
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with hardware architecture, FPGA, and system-level simulation is desirable. A good theoretical understanding of statistics and machine learning theory. Strong analytical skills and proficiency in
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(mean-field computations on bulk phase behavior and interfacial properties, colloidal interactions) and computer simulations. Of particular interest are designing molecules, particles, and interfaces
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-making processes. Moreover, recent developments in the field of machine learning have established a strong connection between these structures and neural networks, which we seek to fortify by developing
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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
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attacks. For detection of such complex threats, multi-modal sensor types will be installed at Port of Moerdijk: visual, acoustic, thermal, multi-spectral, etc. The research goal is to learn how to combine