25 medical-image-processing-phd Postdoctoral positions at University of Southern Denmark
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-Laryngology at SDU, which is divided into three sections: Surgically-related ENT, Medical Audiology, and Technical Audiology. The advertised position is available in the Technical Audiology Section . A closely
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required to make these decisions and the decision-making processes that can achieve socially just outcomes are unknown. In this project, we aim to bridge these knowledge gaps. LostToClimate is an effort in
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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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. Candidates will participate in joint weekly meetings, contribute to co-authored publications, and be expected to produce three single- or co-authored articles. Requirements Applicants must hold a PhD in
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on sensory instead of perceptual processes, communication-related consequences may be overlooked. Little is still known about the perceptual deficits that individuals with dual-sensory loss experience and how
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processing conditions, and minimizing environmental exposure during final application. The assessments are crucial for validating safer alternatives and sustainable process designs. Qualifications
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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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will collaborate closely with a PhD student and the broader project team and will contribute to the implementation and follow-up of the randomized controlled trial evaluating internet-based therapy
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date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied
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thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures