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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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data and clinical information. Applicants must hold (or be close to completing) a PhD in a relevant field and have expertise in modern computer vision and AI research. Experience with biomedical data
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Ref no: ORU 2.1.1-03933/2025 Örebro University is seeking a doctoral student for postgraduate education leading to a PhD in Medical Science with specialization in Biomedicine at the School
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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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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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to improve our understanding of fundamental processes relevant to combustion engines, gas turbines, and fire safety. The successful candidate will join a dynamic and diverse research group with an extensive
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combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you
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Spatial metaTranscriptomics methods and thus also handling of image data. The PhD student will interact with other team members to a large extent. For this purpose, we are looking for a PhD student with
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growth by metalorganic vapor phase epitaxy and developing AI approaches for deterministic synthesis to achieve n- and p-type conductive AlN and related UWBG Al containing alloys. Doping and processing