59 postdoc-in-nanoparticles-density-functional-theory PhD positions at Technical University of Denmark
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Job Description Do you want to grow as a scientist and become a microbiome researcher at the best technical university in Europe? Do you want to hone your scientific skills and use programming
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Job Description We are looking for an ambitious biologist or veterinarian with an interest in diet, intestinal microbiome and chronic kidney disease. You will become part of our internationally
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collaborative settings and wish to play a key role in an EU-funded project with researchers from multiple countries? If so, this PhD position could be a good opportunity for you. This project focuses
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or experience in strong collaborations and interdisciplinary work at the intersection between machine learning, geophysics and acoustic data modeling. A strong experience with software defined radio Automatic
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to work in an international team, work with forefront methodologies, and contribute to the investigation of persistent, mobile and toxic substances in drinking water, then DTU and Norwegian University
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. An external research stay of approximately 3 months in a collaborating institution is a mandatory part of this PhD fellowship position. You will work in close collaboration with experienced researchers and
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) develop and optimize extraction techniques using enzymes in combination with non-thermal technologies such as ultrasound, ohmic heating, and pulsed electric fields, (iii) evaluate the techno-functional
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) therapy on the biology of γδ T cells and how can we use this knowledge to help us predict the success of therapy and prevent the development of side-effects. Position 1 will focus on the cellular and
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.” This position is part of the IntelliWind (Intelligent Systems for Autonomous Wind Power Plant Operations) project, a prestigious Marie Skłodowska-Curie Doctoral Network (MSCA DN) funded by the European Union. As
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided