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: Public University of Navarra (UPNA), Pamplona, Spain Supervisor: Prof. Dr. David Astrain Focus: refrigeration efficiency optimization Background: mechanical engineering, energy systems, or a closely
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design. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework described above Design, test, and optimize novel
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crucial role in the modelling, design, and optimization of various systems in product and process engineering. Despite significant progress made over the decades, existing thermodynamic models and theories
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modern distribution networks and developing tools for the optimal integration of PEDs/LCTs and the design of effective classical and AI-based protection concepts. Your core responsibilities will also
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of exploiting the synergies between different research disciplines and technologies. You will be part of an endeavour to optimize and boost innovation and advance the scientific area of biomedical and neural
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is optimally placed to improve the overall defence performance of a distributed counter-drone capability. The use of a multistatic radar network can potentially provide a significant improvement in
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candidate eager to operate at the interface of molecular biology, neuroscience, and AI. Responsibilities Wet-Lab & Experimental Work Set up and optimize imaging based spatial transcriptomics protocols. Set up
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Medicine, Section for Small Ruminant Research and Herd Health in Sandnes, a PhD position is available within the project PIG-ART: Optimization of advanced assisted reproductive technologies in pigs. This is
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creation of tender documents, specifications, and requirement structures. 2D and 3D spatial reasoning, including general arrangement exploration, layout optimization, and constraint-aware geometry generation
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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the