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positions to pursue PhD projects in the diverse areas of the life sciences. We are looking for young scientists (m/f/d) with a strong interest in interdisciplinary projects to image cell dynamics from
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scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical
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Honours degree in Physics, Engineering, Computer Science or related discipline (or equivalent) Essential Application PhD in medical image processing/analysis (or equivalent) Essential Application Experience
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 1 day ago
Framework Programme? Other EU programme Reference Number DC12 Is the Job related to staff position within a Research Infrastructure? Yes Offer Description 15 PhD positions in imaging of Nuclear architecture
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machine learning neuroimaging project with a broader interest linking imaging characteristics to molecular biology & neurodevelopmental symptoms. The project is a 3 year position supported by the Great
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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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Automation), with a specialization in: Electronics, Instrumentation, Biomedical Imaging and Signal and Image Processing The candidate should have the following skills: Strong background in electronic
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-edge research on spectral CT, quantitative imaging, and artificial intelligence. Position Highlights: - Research Focus: Engage in impactful research, focused on spectral CT, quantitative imaging, machine
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of human cohorts” (65%, Proteomics Group) Ref. Number: 396_2026 PhD Position 3 “Image-based analysis of human cohorts” (65%, Lipidomics Group) Ref. Number: 397_2026 PhD Position 4 “Data Science” (100
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imaging and spatial omics instruments. Work closely with users to understand image/data acquisition pipelines and inform computational processing accordingly. Support users in experimental design