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We are seeking a talented and motivated Postdoctoral Research Associate (PDRA) to join the `Energy and Power Research Group' for a 6-month appointment on the `SATPaSS' project; 'Suitability
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: to perform cardiac and vascular echocardiography (aorta), histopathological study of the aorta and the heart, biochemical study of intracellular signalling, differential genetic expression of oxidative stress
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resolution. This process offers strong potential for applications in clean energy, electronics, and other advanced technologies. The PhD will focus on extending this technology to high-melting-point metals and
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resolution. This process offers strong potential for applications in clean energy, electronics, and other advanced technologies. The PhD will focus on extending this technology to high-melting-point metals and
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preferences, enabling proactive and realistic infrastructure planning. The successful applicant will join Dr Elina Spyrou's research group, which currently includes three PhD students and a postdoctoral
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20 Dec 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Biomedical engineering Engineering » Computer engineering Researcher Profile
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DEPT. OF RADIOLOGY - POSTDOCTORAL SCHOLAR Requisition # 4508 Position Basics Advertising Ends on:Thursday, January 1st, 2026 Advertising Started on:Friday, November 21st, 2025 College:Carver College
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 15 days ago
devices will be able to perform computation and communication with energy harvested from the environment and from ambient wireless signals. The PhD student will be part of the design and electronic
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explore multimodal learning and unlearning techniques using vision, language, and audio signals to build intelligent systems capable of interpreting and responding to human actions and emotions. This work
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, Mathematics, Physics, Neuroscience, Psychology, Medicine, or a closely related field. Previous experience with MRI and/or high-density fNIRS/DOT techniques. Strong understanding of signal processing and data