26 machine-learning scholarships at Eindhoven University of Technology in Netherlands
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Fully funded (4 years) Ph.D. on: Learning Analytics-based dashboards for supporting students’ blended learning. Proposed start date is 1 September 2024, but a later start date may be considered
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computing, advanced machine learning applications, and the deployment of 5G and future 6G systems, the size and traffic of data centers is steadily growing. The proliferation of data centers and the need
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English. An aptitude for independent work. A background in computer science, especially machine learning, is a plus. Conditions of employment A meaningful job in a dynamic and ambitious university, in
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English. An aptitude for independent work. A background in computer science, especially machine learning, is a plus. Conditions of employment A meaningful job in a dynamic and ambitious university, in
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knowledge exchange and learning communities between different fields of sensitive settings through dissemination and international network activities. This PhD project aims to make several contributions
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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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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
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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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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