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is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict
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environment. Our research facilities include access to state of the art pilot plants, ability to use a range of sensors and expertise in process modelling and design. The PhD project will be undertaken in
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relation to the research group Fluid Power and the PhD Student will be positioned to the section for Mechatronics. Your competencies The ideal candidate for this PhD position should have a strong academic
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. Please find and follow guidelines and further information on PhD scholarships and the PhD Program at https://www.cbs.dk/en/research/phd-programme Details about CBS and the Department of Marketing
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SPARK project, starting in September 2026 or soon hereafter. The 3-year project is funded by the EU’s Horizon Europe flagship programme to develop and pilot Stillstrom’s Offshore Power Zone infrastructure
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with Git and modern deep learning frameworks (PyTorch/Jax/TensorFlow) Ability to work independently and in collaboration with researchers, engineers, and domain experts. Strong motivation to conduct
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at a level corresponding to international research standards within the relevant field. This includes the ability to produce high-quality, peer reviewed research outputs, such as publications in
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at a level corresponding to international research standards within the relevant field. This includes the ability to produce high-quality, peer reviewed research outputs, such as publications in
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including the use of delivery systems to incorporate sensitive ingredients Transferring knowledge to the industry to increase the innovative power of both small and large companies You must contribute
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and ability to work in trans-disciplinary research projects A course certificate in Laboratory animal science, ie FELASA Personal skills Ability to work in a team and to assist colleagues, as