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optimal performance The PhD student will be supervised by Ida-Maria Sintorn, Professor in digital image processing, and Jens Sjölund, Assistant Professor in AI at the Department of Information Technology
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, longitudinal patient and population registries and biobanks. Project description The development of artificial intelligence (AI) and computerised image processing in combination with advanced digital microscopy
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these processes. Within the research group, we highly value a positive work environment characterized by respect and care in our relationships with one another. We continuously strive to create conditions that
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images, 3D models, expert breeding assessments of conformation, motion data, and whole-genome sequences. The research will be conducted at SLU in close collaboration with KTH Royal Institute of Technology
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with KTH Royal Institute of Technology and international partners. The PhD student will be supervised by Associate Professor Elin Hernlund (SLU) and co-supervised by Professor Hedvig Kjellström (KTH
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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, modelling, and understanding the function of the nervous system. The field encompasses hardware-oriented instrumentation, signal and image processing, data-driven and physics-based models, as well as clinical
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. Experience in deep learning, computer vision, or neural network development. Experience with live-cell microscopy, fluorescence microscopy, or analysis of 3D/4D image data. Experience in cell biological
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22 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Biological sciences » Biology Biological sciences » Other Computer science » Other Researcher