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team includes a medical PhD student with pathology expertise who performs surgical specimen collection, tissue slicing, micro-CT scans, histological processing, and initial registration. The postdoc will
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level, e.g. in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, e.g. in medical image-based
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, room temperature TEM and cryoEM/ET, single particle analysis, tomography and advanced image analysis pipelines. The CCF is hosted by the Faculty of Health and Medical Sciences (SUND) and aims
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Medicine, you will be part of what is probably the largest health science research department in Denmark. Our clinical research covers all the medical specialities and takes place in close collaboration with
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writing and presentations at conferences and workshops. Qualifications: PhD in Biomedical Engineering, Medical Robotics, Computer Science or a closely related field Strong background in medical image
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://www.science.ku.dk/phd/ The further process After deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment
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at the Faculty of Social Sciences. This requires submission and acceptance of an application for the specific project to the PhD School. Please note that this process will be initiated by the PhD School only after
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analysis, manuscript preparation, and project reporting Required Qualifications PhD (or equivalent) in nanotechnology, biomedical sciences, cancer biology, or a related field Proven experience in
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. Application procedure Your complete online application must be submitted no later than 15 March 2026 (23:59 Danish time). Apply online here: PhD Scholarship in Immunoinformatics Applications must be submitted
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student