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the framework of a very large national photonics initiative , in this project we intend to evaluate the laser active layer design in terms of high-temperature suitability and identify the primary physical
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the faculty of Electrical Engineering. Job requirements Applicants should have, or expect to receive, a Master of Science degree or equivalent in a relevant electrical engineering or applied physics discipline
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. The Electromechanics and Power Electronics group is one of the nine research groups of the Department of Electrical Engineering at TU/e. The group is the main centre for research in electromechanical power conversion
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for control Testing in collaboration with the CQT team of functionality and performance of novel optical tweezers system and created Qubits Job requirements Candidates must have a two-year master's degree (120
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: Master's degree in medicine or technical medicine. Strong interest in clinical research. Team player attitude, interested in collaborating with different teams. High motivation and creativity, precise and
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for candidates that match the following profile: Master's degree in Electrical/Biomedical Engineering, Applied Physics, or related disciplines with excellent grades. Excellent knowledge of signal processing and
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, applied physics or mathematics. We’re searching for an excellent candidate with proven capabilities who recently finished his/her master (MSc) or will obtain his/her MSc soon. Knowledge, experience and an
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, using multiphysics modelling and topology or shape optimization tools. The main focus will be on relation between static and dynamic properties, such as effective stiffness and changes in anisotropy
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scalable and flat interconnect AI compute clusters. To achieve these objectives, the project is organized into the following main activities: Investigate disruptive new network architectures for AI compute
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on mixed-signal design for neuromorphic computing, specifically centered around Oscillatory Neural Networks (ONNs). A primary research thrust within the NanoComputing Research Lab involves advancing ONN