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The successful candidate will lead and contribute to research activities focused on nanoscale magnetism and spintronic materials, with a strong emphasis on advanced TEM-based magnetic imaging, data interpretation
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characterisation and heat-transfer measurements, and development of model-predictive control algorithms for dynamic charge–discharge operation. The postholder will support prototype fabrication, instrumentation
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of digital imaging systems such as whole slide imaging, telepathology and digital image analysis software · Collaborate closely with LIS, IT, laboratory, integrated practice and departmental staff as
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the excitement of a bleeding-edge scientific laboratory and welcome the challenge of serving as a steady consistent imaging and computational scientist role in a fast-paced environment. Those who will thrive in
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language teaching (mother tongue and second language) at UiT. It also offers PhD programmes in linguistics, cultural/literary studies, art history, as well as media and documentation studies. The project
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for an interview as part of our commitment to inclusivity and equal opportunity. For further information about the recruitment process, click here . Life as a PhD candidate at UiB Marion Claireaux tells about life
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, optical engineering, biomedical imaging, interferometry, optical microscopy, optical coherence tomography, automation / robotics, - skills in signal processing (highly advantageous), - motivation to conduct
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procedure Are you interested in this vacancy? Please apply no later than 28 February 2026 via the application button and upload the … Where to apply Website https://www.academictransfer.com/en/jobs/357690/phd
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Week 35 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Research
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disease modeling and intervention studies, medical image processing, metabolomics data analysis, survival analysis, causal inference, statistical methods of health surveys, high-dimensional inference