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spectroscopy experiments (electron-energy loss spectroscopy and cathodoluminescence). The project will focus on the description of layered systems combined with individual photonic scatterers or periodic arrays
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experience in artificial intelligence, embedded AI, real-time control systems, or adaptive system architectures. Familiarity with or interest in runtime reconfiguration techniques and system safety
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, robotics, mechatronics, electrical engineering, embedded electronics, or a related subject area. The applicant is expected to have relevant research and teaching experiences that match the position's content
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analyses on harvested tissues and biofluids. The postdoc will be responsible for planning the experiments, data acquisition, preparation, analysis, manuscript writing, and other activities for disseminating
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available here: https://api.paca.sdu.dk/ . The next phase will require the postdoc to draw from research on climate fiction and related concepts to design living labs experimenting with impactful
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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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welcome candidates with: Experience conducting epidemiological or clinical research related to maternal and/or child mental health. Proficiency with register-based data, ideally from Danish health
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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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consequences may be overlooked. Little is still known about the perceptual deficits that individuals with dual-sensory loss experience and how these deficits can be detected and compensated. Using various
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understanding of chemical safety regulations and frameworks: CLP, REACH, SVHC lists, and GHS classification. Demonstrated experience with: Hazard and risk assessment methods (e.g., QSAR, NAMs, in silico tools