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Engineering, Communication Engineering, Computer/Data Science, Mathematics or equivalents; – background in artificial intelligence, image/signal processing, remote sensing, passive/active sensors. Where
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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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imaging methodologies, biological sample preparation, vacuum technology, laser operation and optics, and electrical and mechanical engineering. Furthermore, you are expected to present your work in
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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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synchrotron method: 2DµXRD imaging. We have recently demonstrated a proof of concept of this experiment4. The PhD aims at (a) increasing resolution of 2DµXRD imaging and (b) make this technique available
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and reduce performance. At the same time, recycled alloys are often more susceptible to solidification defects during processing. This PhD project will investigate the interplay between grain refinement
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project alongside 14 other PhD. students, all pushing the boundaries of quantitative imaging in plants. The ideal candidate profile: Must-have: MSc or equivalent degree (preferably in Life Sciences) Strong
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, Communication Engineering, Computer/Data Science, Mathematics, or equivalent; – knowledge in artificial intelligence, image/signal processing, remote sensing, and radar remote sensing. Where to apply Website
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microscopy Experience in live super resolution imaging Oral and written skills in English language Scientific conference participation Publication record PhD Student Position 3 Required qualifications: BSc in
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areas: AI/ML, image processing, molecular modeling and docking ‒ Strong experience in Python and C++ programming (knowledge of Fortran is a plus) ‒ Strong interest in interdisciplinary research bridging