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conferences. You have: A PhD in a relevant field (e.g., in pharmacy, public health, epidemiology, medical and health sciences). Candidates who have not yet completed their PhD are welcome to apply, but should
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(Maastricht University Medical Center) and Clinical Data Science (Maastricht University) we are looking for a technically oriented PhD Candiate on the development of ML/AI solutions for workflow optimization in
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the Department of Surgery (Maastricht University Medical Center) and Clinical Data Science (Maastricht University) we are looking for a clinically oriented PhD Candidate on workflow optimization in liver ablation
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conferences. You have: A PhD in a relevant field (e.g., in pharmacy, public health, epidemiology, medical and health sciences). Candidates who have not yet completed their PhD are welcome to apply, but should
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underlying the resistance of cancers towards these medications, and we have been engaged in novel drug discovery. In the present project, the PhD candidate will study preclinically the efficacy of a novel
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of Radiology & Nuclear Medicine and Neurology of the Maastricht University Medical Centre. The position is embedded in the School for Mental Health and Neuroscience (MHeNS) of the Maastricht University. As a PhD
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Postdoctoral researcher on a cell therapy for cornea regeneration at the MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University Postdoctoral researcher on a cell
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for Cardiovascular Diseases CARIM is one of the six schools of the Faculty of Health, Medicine and Life Sciences (FHML) of Maastricht University and is embedded within the Maastricht University Medical Center
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urgent societal needs? Job description The Department of Advanced Computing Sciences (DACS) is looking for an Assistant Professor in Statistical Learning. To strengthen our research initiatives
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PhD candidate in Clinical Data Science focusing on the automation of data extraction pipelines and FAIR data infrastructures PhD candidate in Clinical Data Science focusing on the automation of data