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between CDC access and community and place-based health outcomes (quantitative). The work will also involve knowledge mobilisation approaches to share the findings on a local and regional basis
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. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
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participation for all employees. The research group is now recruiting a full-time doctoral student (100%) with a start date of 1 October 2026 (or as agreed). Description of PhD Project The research focuses
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PhD Scholarship Opportunity - Developing the Next Generation of Evidence-Based Rheumatology Researchers Job No: 698225 Location: Monash University School of Public Health and Preventative Medicine
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methods Knowledge of automatic control Good oral and written presentation skills in Norwegian/Scandinavian language Personal characteristics To complete a doctoral degree (PhD), it is important that you are
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’, a consortium of scientists will combine technological, methodological and ecological knowledge to take a next step in using remote sensing techniques for ecological monitoring of ecosystems across
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
11th October 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 9 hours ago
diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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scholarship holder in the field of Bioscience Engineering - Applied Microbiology, Nutrition, and Biotechnology Position You will actively work on the preparation and defence of a PhD thesis in the field
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from massive datasets. Their ability to capture transferable knowledge offers a unique opportunity to rethink the modeling of physical interactions. The central idea of this PhD is that a model trained