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senior research position to work on projects related to computational analysis of mass spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational
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section Participate in experimental campaigns at the European XFEL About you: PhD or equivalent experience in physics, engineering, or a related discipline is required Strong skills in numerical modeling
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and machine learning models. To be successful in this role, you will have excellent communication skills and written English, strong quantitative and analytical skills, the ability to work creatively
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: https://rademaker.unige.ch/ The candidate · holds a PhD (or an equivalent degree) in Theoretical Quantum Matter Physics by the starting date; · has excellent spoken and written English
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-of-the-art MRI scanners (including one new 7T scanner) as well as MEG (Elekta Neuromag TRIUX 306-channel system). If you are at the end of your PhD and expect to defend your thesis within 6 months (and may not
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the supervision of master’s and/or PhD students. Astrophysics research at KTH is part of the Oskar Klein Centre for Cosmoparticle Physics (OKC) at the AlbaNova University Centre (https://www.okc.albanova.se ). OKC
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scientific capacity in the region. The candidate will also lead NYUAD’s annual Southeast Asia Learning Exchange, an immersive week long program that brings regional researchers to Abu Dhabi for advanced
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seeking a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in
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automated configuration mechanisms based on fingerprinting and machine learning to ensure traffic analysis remains faithful to the behavior of the monitored machines. Finally, you will validate your solutions
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concepts. Collaborate closely with international project partners, contributing to joint publications and dissemination activities. Participate in supervision of MSc and PhD students connected to the project