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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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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 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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exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous agents, to perceive and interpret their environment and support timely physical action. A central objective will
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experience more stable blood glucose, potentially making exercise safer and easier to manage. But nobody has tested what actually happens to fuel use and glucose control during exercise in physically active
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the consequences of actions, and adapt reliably when the physical world changes? The project connects multimodal perception, reasoning and action with predictive learning and edge intelligence. Research directions
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We are seeking a highly motivated researcher in Physical Oceanography to join our interdisciplinary marine research environment. The successful candidate will contribute to cutting-edge research
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Some of the biggest open questions in modern physics concern the limits of the Standard Model and General Relativity. The nature of dark matter and dark energy remains unknown, and many theories
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PhD position in Advanced Physical Security of Embedded Systems. You will become part of an active and interdisciplinary cybersecurity research environment and have the opportunity to collaborate with
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are being made with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without