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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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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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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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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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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
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Job Description Would you like to become part of the solution toward green energy transition, by helping develop the methods for modeling future power and energy systems? The Renewable Plants in
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Method to analyze the single-photon source performance (PhD1). Optimize and propose new single-photon source designs overcoming these limitations to be fabricated by other PhD students (PhD1). Perform
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funded PhD scholarships (3-year employment) in a vibrant interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization for light trapping in thin