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Resources: Benefit from state-of-the-art High-Performance Computing (HPC) facilities, unique multimodal datasets, and advanced wearable technologies. Global Collaboration: Extensive technical and
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, differential equations, geometry/topology, numerical analysis, optimization, and statistics. Part of the research is also carried out in close cooperation with other fields of science and technology at NTNU, as
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for medical time-series. Cutting-Edge Resources: Benefit from state-of-the-art High-Performance Computing (HPC) facilities, unique multimodal datasets, and advanced wearable technologies. Global Collaboration
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affordance-level understanding of the environment over time. Emphasis will be placed on dynamically adapting the fusion process to modality confidence, constructing rich scene graphs that encode geometry
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date: August 2026 at latest The students will be enrolled in the structured PhD programme at the LMU Ph.D. Medical Research - Faculty of Medicine - LMU Munich This position is part of 19 PhD Fellowships
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innovation programme under the Marie Skłodowska-Curie (Grant Agreement No.: 101227148) The position is one of 19 PhD Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral
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algorithms for inference and decision-making by pushing the boundaries of computational techniques. The research emphasizes efficiency in resource and data usage, reducing environmental impact, and ensuring
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close collaboration with industry and the public sector. The primary objective of SURE-AI is to create a new generation of algorithms for inference and decision-making by pushing the boundaries
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Adrenal Diseases) , and is scheduled to start in August 2026. The position is funded by European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie (Grant Agreement
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mechanics Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 25 Nov 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary