48 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions at Technical University of Denmark
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focused on development of novel methods involving organic chemistry, transition-metal catalysis, photocatalysis, enantioselective catalysis, and C-H functionalization as well as reaction mechanism
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implied, the RIGOLETTO project will prepare the way for further exploiting the potential of RISC-V ISA (instruction set architecture) as a key technology to address the demands in the context of future
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perhaps you are our new researcher You will develop analytical methods to quantify the individual vitamers, as well as precursor and degradation products. You will evaluate content of vitamins and nutrient
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on the development of micro and nanotechnology-based sensors, detection systems, drug-delivery devices, and energy materials. Responsibilities and qualifications You will be responsible for the fabrication and
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for you to kick-start your professional development in this exciting area providing new knowledge for the green energy transition. You will be among meteorologist working on understanding various
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by the EU Horizon program, you will have the opportunity to develop and utilize cutting-edge smart materials (e.g., metal-organic frameworks) to design a groundbreaking air-cleaning system that can
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for the position. Our research areas At DTU Physics, we perform research in fundamental and applied physics areas and we use and develop state-of-the-art experimental and theoretical approaches. We have broad
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wind turbines, etc. Our research on anti-corrosive coating mainly covers development of novel and advanced anti-corrosive coatings, non-destructive coating performance evaluation, coating integrity
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Job Description Generative AI (GenAI) has taken the world and the software development scene by storm. GenAI has shown great promises of improving the productivity of developers, however, there are
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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as