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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 7 days ago
Physics invites applications from talented, ambitious graduating MSc students for a PhD position on Exploring Supernova Remnants in eROSITA and Multiwavelength Data (m/f/d) Job Code: 16/2025 The PhD project
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a list of publications, a cover letter highlighting your suitability for the position and why you want to join the Jönsson group and the RESYDE project, and contact information of three referees
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every
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(LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in
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Degree Doctorate Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty
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department. Information and application Are you interested in this position? Please send your application via the 'Apply now' button latest on August 15, 2025 and include: A cover letter (maximum 2 pages A4
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pragmatic notion of Common Ground. Only applicants that hold a master’s degree (or equivalent) in Linguistics or a similar Language Science area by 01 October 2025 are eligible for the role. The ideal
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with quantitative data analysis excellent written and spoken English in order to qualify for admission to PhD programmes at the Faculty of Health Sciences, applicants must have achieved a grade of B or
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for stormwater management that leverage modern technologies and sustainable practices. This PhD position offers a unique opportunity to advance urban stormwater engineering through data-driven and nature-based
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. The developed technology will be rooted in causal reasoning, and we envision leveraging causal generative AI methods to develop a rigorous and comprehensive AI testbed. Clinical applications include, but are not