26 phd-cognitive-neuroscience Postdoctoral positions at University of Southern Denmark
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for applicants who have obtained their PhD within the past 4 years, have a good publication record, and have proven their expertise on computational electrodynamics and the theory of light–matter interactions
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-world challenges. We encourage and support our postdocs to publish their research in renowned journals and conferences, and to engage in knowledge exchange with colleagues and external research and
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journals and leading conferences and actively contribute to funding applications to support and expand the research area. What we expect The applicant must hold a doctoral degree (PhD) in electronics
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”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer
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nationalities are encouraged to apply. The successful applicant will be expected to have: Obtained a PhD in a relevant area, e.g. neurobiology, biomedical sciences, medicine, or related field. Ability to work
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international journals The ideal candidate would have a PhD in geoscience, marine science, environmental engineering, or related disciplines, would have experience handling in situ instrumentation and working
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requirements: PhD degree in vision science, psychology, cognitive (neuro)science, or a related field Expertise in visual perception. Experience with auditory or multisensory perception is a plus. Good command of
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experimental procedures, these knowledge gaps will be tackled. Novel diagnostic tests will be developed, allowing the underlying mechanisms to be studied and deficits to be detected. Furthermore, novel
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experience and knowledge with animal models of disease are major requirements. Ability to work in a structured and independent manner. Good communication skills and high proficiency in English. Good
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Network (SNN) algorithms. Candidates, who will complete and defend their PhD thesis by the end of 2025, are welcome as well: Strong expertise in algorithm development for neural networks. In-depth knowledge