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of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of robust artificial intelligence for industrial process optimisation. The research of this PhD position will
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PhD Stipend Scholarship – Faculty of Medicine, Nursing and Health Sciences/Monash AI institute [AI-enabled personalised coaching for physical activity and other health behaviour change across
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PhD Stipend Scholarship – Faculty of Medicine, Nursing and Health Sciences/Monash AI institute [AI-enabled personalised coaching for physical activity, sleep and health behaviour change] Job
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Are you motivated to take a
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Job Code: MPIDS-W091 Job Offer from July 28, 2026 In the Department of Living Matter Physics (LMP) we seek to fill several PhD positions on Statistical Physics and Active Matter. The Max Planck
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24 Sep 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Physics and Astronomy Research Field Physics Researcher Profile First Stage
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reaction mechanisms. In collaboration with the Chair of Physical Chemistry we will advance CSIA to mechanistically characterize photocatalytic reactions under controlled conditions, with the ultimate goal
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administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr
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system configurations, experimental setups and operational data. The scientific ambition is to develop methods that combine physical models and data-driven approaches for adaptive, real-time operation of