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Job Description DTU Electro invites applications for a PhD position in AI-driven optimization of optical links based on nano-lasers, within the Villum Investigator program "Power-Efficient Fiber
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View. 3. Well-versed in MATLAB . 4. Decent knowledge in signal processing and Arduino programming. 5. Preferable experience in other programming languages such as PYTHON , and C++ is beneficial
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French National Institute for Health Research (INSERM) | Lille, Nord-Pas-de-Calais | France | 8 days ago
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content PhD Student – Kisspeptin Signaling in Reproduction and
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ABOUT GHENT UNIVERSITY PhD Position in Specialized Time-Sensitive Wireless Connectivity for Demanding Markets Ghent University is a world of its own. Employing more than 15.000 people, it is actively
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PhD student in theoretical ecology Linkoping Reference number IFM-2026-00366 We have the power of over 50,000 students and co-workers. Students who provide hope for the future. Co-workers who
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systems Integrated circuit design, microelectronics & semiconductor devices, bioelectronics, quantum technologies Signal & information processing, machine learning & AI Next-gen wireless optical
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systems Integrated circuit design, microelectronics & semiconductor devices, bioelectronics, quantum technologies Signal & information processing, machine learning & AI Next-gen wireless optical
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funded PhD work of early-stage researchers that have completed their undergraduate training in a life science subject. We aim to develop motivated, responsible, and scientifically independent
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content PhD position in radar glaciology and Greenland Ice Sheet
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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 16 days ago
Signal and Information Processing over Networks (2024), the International Joint Conference on Neural Networks (2023), the ICML Topological Deep Learning Challenge (PMLR, 2023) and Scientific Data (2026