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06.06.2025, Wissenschaftliches Personal We are looking for 1 PhD Position in Robotics and AI to work at the Technical University of Munich (Garching Campus) within this multi-disciplinary cohort. We
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description International...
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View All Awards Deadline Likely in February 2026 Value Ranges from $42,033 to $48,659 Citizenship Canadian Permanent Resident International Degree Level Masters Doctoral The IDRC Research Awards are offered to Canadians, permanent residents of Canada, and citizens of developing countries...
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Team up with up to 3 fellow Ph.D. students in the DSP-assisted Wideband & Efficient Transceivers (SWEET) project which is part of the WiTECH center to perform cutting-edge multi-disciplinary
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Environment The successful candidate will join the Compliant & Accountable Systems Group, which is part of RC-Trust: a multi-university research centre focused on human-centred, interdisciplinary research
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part-time position with a weekly working time of 30 hours per week (75%). The PhD position is funded by Deutsche Forschungsgemeinschaft (DFG) and related to the major multi-national initiative “Deep Dust
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staff, providing a platform for our researchers to share ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon
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are part of the programme. The research is funded by the Centre of Propulsion and Thermal Engineering at Cranfield University. The work will be conducted at the Cranfield icing wind tunnel (IWT) based
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: a state of the art workplace located at the heart of the medical campus in close proximity to clinics and other research institutes a diverse and international team eager to approach diverse questions
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AI training has emerged as the standard approach, which utilizes thousands of high-performance devices within a data center to collaboratively process tasks. When they are even more complex, the