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Field
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Technology, and the PhD student will be positioned in the Esbjerg Energy section. The position is part of the internally funded research project SURGE: Speed-optimized USVs for Robust Guidance and Offshore
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full translational pipeline — from developing and optimizing cell enrichment and molecular profiling workflows, through single-cell characterization of circulating tumor-associated cell populations
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
NTNU and the application process here. ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Department of Department
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16th August 2026 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD in Predictive AI-Based Maintenance and Optimization of Building
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opportunity to contribute to scientific publications. The Center of Allergy and Environment Munich (ZAUM) in co-operation with Volkswagen (VW) and the Allergy Friendly Buildings Alliance GmbH (AFBA) is looking
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, scalable energy concept in which the computing infrastructure and energy system are tightly coupled and jointly optimized. During the project, a container-scale prototype will be realized, which will combine
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Belgium. The overall objective of FLEX-SMR is to develop cost-optimal solutions for integrating SMRs into industrial energy systems. In particular, the project investigates how an SMR can be operated
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: healthy volunteers, patients undergoing elective cardiac surgery, critically ill patients, and burn patients. Serial measurements of micronutrient concentrations will be performed in serum, leukocytes, and
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electrochemical interfaces for electrocatalysis and batteries. You will investigate how the properties of the electrode-electrolyte interface can be leveraged to optimize the activity, selectivity, and stability
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with hard-to-treat “cold tumors.” By developing personalized nanomedicines, SPARC aims to improve patient survival through innovations such as tumor-on-a-chip platforms that reduce reliance on animal