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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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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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engineering, physics, biology or a related field and a demonstrable interest in MRI or medical imaging. A vivid interest in high-resolution imaging or the human cerebellum would be a plus. Proficiency in spoken
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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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, 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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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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for on-board, runtime engine fault detection, with experimental validation on the ASCENT bi-liquid propulsion system. Our partner Orbital Paradigm contributes online trajectory reconfiguration upon fault
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of the PhD. Selection process Pre-selected candidates will be interviewed online in June 2026 Additional comments Please send your CV, a brief cover letter, and the contact details for at least two
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-hyperspectral-duv-imaging-f… Requirements Specific Requirements You should be excited about experimental science and hold a master’s degree in chemistry, physics or engineering with an outstanding track record