126 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" PhD positions in Denmark
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industrial processes. Your research will drive a paradigm shift in how TES systems are modelled, integrated, and controlled within industrial settings. You will develop novel, adaptive, physics-informed models
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description Machine learning opens up new opportunities to accelerate the discovery of next-generation energy materials by combining predictive and generative approaches. In this project, we will develop neural
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of creativity, learning, and aesthetic experience Identity, citizenship, and participation in cultural and social contexts Psychological perspectives on education, recovery, and human development Organizational
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for the development of next-generation CAR T cell therapy for solid tumours. You will work with a wide range of methods, including molecular biology, culture of human T cells, CRISPR multiplexed genome engineering
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on mould concept and production system development. As a Researcher you are expected to have an active role in preparation of project applications to attract national as well as European funding. As formal
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to join our team. The project will focus on developing innovative silicone-based foams tailored for healthcare applications. Responsibilities and qualifications The project focuses on the design
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Are you eager to advance your scientific career at the cutting-edge of quantum materials and nanotechnology? DTU Physics and DTU NanoLab offer a fully funded PhD position (3 years) to develop
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Offer Description Are you eager to advance your scientific career at the cutting-edge of quantum materials and nanotechnology? DTU Physics and DTU NanoLab offer a fully funded PhD position to develop
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communities to cascading hazards, particularly NaTech (Natural Hazard Trig-gering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the
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SQL databases and file repositories. We are now taking the next strategic step: developing ontologies and a dynamic knowledge graph to semantically link our internal data systems - and connect them