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of cortisol and its metabolites, and data collected from wearable devices. The overall objective is to define the optimal range of tissue cortisol. About the project/work tasks: The project includes: A case
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therefore announces one of these positions as a PhD scholarship in Logistics focusing on Optimization and socio-economic assessment of carbon capture, transport and storage in value chains. About the position
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(NFR). DYNCAT aims to develop highly predictive, physics-based and AI-enhanced computational models to study and optimize the Rochow-Mülller process, which produces the raw material for silicone
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AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition
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AI solutions, the center will address a diverse and impactful set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition
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under extreme fault conditions. Scientifically, optimizing new gas mixtures is complex, with gaps such as missing photoionization data. The NEMEGIS project aims to fill these gaps by studying insulation
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. Interoperability as key in the energy transition. The ongoing energy transition requires further integration of existing control and optimization systems, making energy forecasting particularly critical. Improved
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automated creation of tender documents, specifications, and requirement structures. 2D and 3D spatial reasoning, including general arrangement exploration, layout optimization, and constraint-aware geometry
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set of use cases: Logistics, shipping and business transactions; Ship design and construction; Voyage planning and optimization; Condition monitoring and maintenance; Crew training; Maritime traffic and
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, CRISPR technology, chemical screening platforms, and precision oncology. Responsibilities Develop and optimize in vitro models and methodologies to investigate cytotoxic lymphocyte-mediated cancer cell