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(2023)). Work at these facilities will be combined with research in our state of the art femtosecond laser labs. Your profile Applicants should hold a PhD in Physics or Chemistry or related field
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to contribute to a positive, creative and productive research culture in the iGRIDS group and the wider department. You must hold a PhD in Energy Engineering, Electrical Engineering, Mechanical Engineering with a
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, constructive in feedback, and willing to contribute to a positive, creative and productive research culture in the iGRIDS group and the wider department. You must hold a PhD in Energy Engineering, Electrical
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Enthusiasm and excellent collaboration skills Passion for computational modelling Strong oral and written skills in English As a formal qualification, you must hold a PhD degree (or equivalent) in machine
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should hold a PhD in Electrical or Electronic Engineering (completed within the last 5 years) with strong experience in CMOS IC design. The ideal candidate has: Strong background in analog and/or mixed
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. Supervise BSc, MSc and PhD student projects. Establish and develop collaborations and partnerships with colleagues in academia and industry, and participate in international research collaborations/consortia
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2-year postdoc position within physiological effects of vitamin D on immune and inflammatory resp...
, and PhD levels, as well as support and guide technical staff. What we offer A well-developed research infrastructure, laboratories and access to shared equipment and animal-experimental facilities
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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the emergence of novel variants that are causing epidemic or even pandemics. If we at an early stage could foresee which variants of novel species there most likely would cause diseases, we could potentially