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(DZHK, DZNE and DZKJ), the excellence cluster “Multiscale Bioimaging”, collaborative research centers, and other collaborative research grants, the UMG offers a dynamic and collaborative research
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to investigate Natural Hazards and understand events (e.g., earthquakes, storms/extreme climate), as well as behaviors of natural systems. Successful candidates will contribute to a dynamic and diverse research
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, and dynamic individual who is a team worker, has a positive outlook, and is adaptable and flexible in their working methods. It is also essential that you are highly experienced in setting up continuous
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-based prevention, patient advocacy, and raising awareness around rUTI and bladder health Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.). Should be used for post-doctoral
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development and refinement accordingly. We are looking for a highly organised, driven, and dynamic individual who is a team worker, has a positive outlook, and is adaptable and flexible in their working methods
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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see: UC Nondiscrimination & Affirmative Action Policy at: http://policy.ucop.edu/doc
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-programme-in-electrical-engineering . Ready to apply? To apply for the position, please send the documents indicated below (in English, compiled in a single PDF) using our online recruitment system. To access
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your academic profile in a friendly, supportive, and dynamic centre, with the possibility of contributing to scholarly and policy publications, research seminars and transitioning into a PhD and/or
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candidate with a strong background in computational fluid dynamics (CFD) and specialized expertise in hemodynamics associated with coronary artery disease (CAD). The ideal candidate will hold a PhD in
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Your Benefits Offer: We offer the opportunity to work on a cutting-edge project with access to a unique population dataset within a dynamic and supportive research environment. Join us in shaping the