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simple NMR methods for the discovery of hitherto unknown reaction pathways, apply the methods to the discovery and optimization of novel environmentally-friendly reactions, devise, optimize and use
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be applying methods such as sensitivity analysis, robust optimization, and stochastic modelling as you work on your project. You will be seconded with the Chalmers University of Technology (Sweden) and
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Job Description Are you interested in putting science in direct benefit of society? We are offering a full PhD fellowship to explore how AI, Mathematical Optimization, and Game Theory can be used
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the redistribution of the phases present, reaction mechanisms will be investigated and the information gained will be used for optimization of the battery. The position is part of the INCEPTION Doctoral Network
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an optimized extraction process for bioactive compounds from seaweed. Analyse and characterize the extracted compounds for their bioactivity and techno-functional properties. Support student supervision and
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skills and a keen interest in data-driven research. Your role will be to apply the developed semantic infrastructure to concrete case studies—such as cross-unit scheduling, process optimization
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Job Description Do you want to contribute to a greener future where state-of-the-art scanning nitrogen vacancy (NV) magnetometry is introduced to visualize buried functional processes in energy
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biomaterial-based drug delivery. The position is part of a larger interdisciplinary research initiative aiming to develop targeted therapies for osteoarthritis (OA) by combining antisense oligonucleotide (ASO
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structures, followed by thorough characterization of their chemical, structural, and mechanical properties. You will work on understanding and optimizing foam properties such as porosity, elasticity, and
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with researchers at DTU and KTH, you will help develop an integrated decision-support system that: Uses real-time sensor data and AI models to assess risk scenarios. Dynamically recommends optimal