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» Global change Environmental science » Natural resources management Researcher Profile First Stage Researcher (R1) Application Deadline 30 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract
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care and clinical nutrition? Are you motivated to advance diagnostic approaches for accurately estimating individual metabolic demands in critically ill patients using innovative analytical methods? We
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to help define the architecture, interfaces and future direction of our software rather than simply contribute to a predefined codebase. We are particularly interested in exploring how AI-assisted and
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
tactical sourcing decisions, and contribute to improved supply chain performance. You will join the Production Management Research Group at NTNU, which focuses on the design and planning of production and
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of heterogeneous technologies are increasing the complexity of power delivery, thermal management, and energy optimization across the entire computing stack. Emerging technologies such as fine-grain 3D integration
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of personalized cardiovascular care. As a PhD candidate, you will work on improving the diagnosis and treatment of coronary artery disease, with a clear focus on clinical application during catheterization
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for the duration of the project if you perform well. We encourage development and internal mobility within our organization. Our recruitment and selection policy sets out the conditions that apply specifically
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collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL
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participate. The focal region is the Alblasserwaard. Your duties and responsibilities include: Develop a research proposal and a Training and Supervision Plan, to structure the 4-year PhD trajectory. Perform
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products and services supporting power system operation, including frequency regulation, reserve restoration, congestion management, peak shaving, and load profile smoothing • The proposed methodologies will