21 software-defined-network-postdoc PhD positions at Eindhoven University of Technology (TU/e) in Netherlands
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by the large role software plays in the control of high-tech systems? Are you
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. The second sub-project, a postdoc track, focusses on pedagogies or structures for guiding students in selecting competencies to be achieved as learning outcomes, through learning activities and assessment
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governments. As the majority of the symmetric primitives, they are designed to naturally operate over bits, in order to maximize their performances in Software and Hardware implementations. At the current state
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including faculty members, postdocs and PhDs working on diverse topics in the field of dynamical systems and control and its applications. This PhD position is jointly supervised by Nathan van de Wouw, Tom
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to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be an integral part of the prestigious NWO AiNED AI-on-ONN
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are currently seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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, and software engineering skills with prior experience implementing machine learning algorithms using well-known frameworks (e.g., PyTorch). Ability to work in an interdisciplinary team and interested in
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network connecting fundamental chemical biology, clinical diagnostics, and industrial partners. You will be working under the supervision of Luc Brunsveld, Volkher Scharnhorst, and a multidisciplinary team
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written English (C1 level). Additional Information Benefits A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a
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of porous electrodes, advanced imaging and characterization, and validation in electrochemical cells. Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by