67 evolution "https:" "https:" "https:" "https:" "https:" "Newcastle University" PhD positions at Technical University of Denmark
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interface of microbiology, chemical ecology, bioinformatics and drug discovery, contributing understanding that can support development of new antibiotics against Gram-negative bacteria. The project is funded
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Wind at https://wind.dtu.dk/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option of joining our
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more about Section for Aquaculture at https://www.aqua.dtu.dk/english/about/organization/scientific-sections/section-for-aquaculture If you are applying from abroad, you may find useful information
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website: https://elegance.dtu.dk/ . More information about DTU Chemical Engineering: www.kt.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU
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growing alone and in co-culture in wound models. Development of MS proteomics approaches for detection of pathogen surface proteins and secreted proteins. Characterization of the infection timeline and
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Job Description Are you passionate about the green energy transition? Do you wish to contribute to the development of solutions to support the increasingly renewable power grid? This fully funded 3
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this knowledge to suggest new ways to optimise catalytic reactions. Overall, you will contribute to the development of AI-enhanced autonomous workflows for interface. These implementations will be general and will
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Job Description As part of our Novo Nordisk Foundation Challenge Grant Energy Materials for the GUT (EMGUT), we are seeking a highly motivated PhD student to advance the development and testing
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electro-thermo-mechanical finite element (FE) simulation of resistance spot welding, including comparison to physical welds. Development of a CFD model for simulation of melt pool dynamics and coupling it
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optimization, using machine learning and advanced metaheuristics. Furthermore, you should (together with the team) participate in development of solvers for stochastic optimization problems and test the methods