43 programming-"Multiple"-"Prof"-"Edge-Hill-University"-"Washington-University-in-St" positions in Denmark
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conducts cutting-edge research in chemical and biochemical engineering, with a strong focus on sustainable technologies. As part of our commitment to addressing climate challenges, we operate multiple carbon
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institutions, or consultancies Excellent communication skills in written and spoken English; Danish is an advantage Ability to work independently and collaboratively, manage multiple priorities, and meet strict
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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. The research team you will work with is leading an international program that brings together scientists from high-profile institutions across the globe to tackle one of agriculture’s most pressing challenges
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funding, and deliver on multiple projects carried out in one of the most dynamic groups in food science at Aahrus University. You will have many opportunities to connect with other research partners, and
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and competences across multiple engineering programs. To do so, you will: Develop the research field by identifying knowledge gaps of scientific, academic, and industrial relevance Contribute to and
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part of the Perception and Cognition for Autonomous Systems Group (PCAS), and you will find yourself among multiple PhD students and senior researchers working on multiple aspects of autonomous robotics
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project on the CBS homepage and the Hort2thefuture website. Responsibilities • To monitor project progress against milestones and deliverable timelines, ensuring compliance with the project plan and EU
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and competences across multiple engineering programs. To do so, you will: Develop the research field by identifying knowledge gaps of scientific, academic, and industrial relevance Contribute to and
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development and marine management. Your primary tasks will be to: Compile and harmonize data from multiple sources (e.g., EMODnet, Copernicus, fisheries surveys, citizen science). Engage with data managers and