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for mining-related research. To ensure continued development within critical raw materials research, we are now seeking a PhD student in Ore Geology. Subject description Ore Geology includes the use, setting
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new member for our working group “Process Engineering for Fiber Plants” in the department “System Process Engineering”, starting on April 1, 2026. Scientist (for PhD) (m/f/d) In the DFG-SFB, coordinated
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the fields of integrated ship systems and autonomous and unmanned marine technology. Main responsibilities: Development and sustainability of the research group: - Design and architecture of integrated ship
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(PhD or MSc) Our goal: Build a future-proof data platform that accelerates plant breeding research. Your colleagues: An interdisciplinary team of data engineers, researchers, and domain experts within
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of master’s and PhD students. Possibly engaging in teaching at undergraduate/master’s level The position is meritorious for future roles in academia, industry, or the public sector. Contract terms The position
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is suitable for industrially scalable dry electrode processing. The successful candidate will play a central role in engineering fibrillar composite architectures that mimic PTFE performance while
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may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme (https://www.ntnu.no
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit
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interpret the architecture to local field potential data recorded in humans who have seen a vast number of images from the CoCo-database (https://cocodataset.org ); and apply and interpret the architecture