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. Application procedure Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than July 31th, 2025. Applications and documents received after
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or explainable AI or safety). Experience in machine learning, causal inference, image processing, human-robot interaction, or large language models. Experience in analyzing multimodal data (e.g., text, sensor
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University is available here. Union representatives Information about union representatives, see Help for applicants . Application procedure Apply for the position by clicking the “Apply” button below. Your
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the mobility, ubiquity, security, and interactivity of computers, data, software, and users. The pervasive computing paradigm enables technologies such as sensors, actuators, and computers to take a back seat
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the mobility, ubiquity, security, and interactivity of computers, data, software, and users. The pervasive computing paradigm enables technologies such as sensors, actuators, and computers to take a back seat
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Description of the AMBER project This post-doctoral position is part of AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, which will address scientific and sectoral gaps in
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. To qualify for a position as a postdoctoral research fellow, you must have a PhD, a doctoral degree or a foreign degree equivalent to a PhD or doctoral degree in the above or related topics. We expect
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. The PhD position is within the Data-driven life science (DDLS) Research School. DDLS uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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position in the fields of photoreceptors, molecular biology and neurobiology. The ideal candidate is expected to work both independently and as part of an interactive team. The full-time scholarship is for 1
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Subject description This post-doctoral position is part of the EU cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address