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, University of Skövde. One of VE's main visions is to contribute to a "viable society" by developing future production systems, optimizing manufacturing methods and prioritizing human-centered design in
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work on plant genetics, growth strategies, and crop management with the aim of achieving optimal crop performance by integrating plant, environment, and management. The position offers close
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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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networks, from a machine learning and information theory perspective. This basic research project has strong translational potential and aims to elucidate how immune function is altered during sepsis, with
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systems, predictive modeling, or optimization problems related to packaging or mechanical systems. • Background in logistics optimization, supply chain modeling, or distribution network analysis
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Virtual Research Institute (WIB) - Łukasiewicz Research Network - PORT Polish Center for Technology Development, Co-Financed by the Polish Science Fund, project no. WIB-4/2024-O04, entitled “Personalized
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Virtual Research Institute (WIB) - Łukasiewicz Research Network - PORT Polish Center for Technology Development, Co-Financed by the Polish Science Fund, project no. WIB-4/2024-O04, entitled “Personalized
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Qualifications Experience with graph neural networks, machine-learning interatomic potentials, or related scientific machine-learning methods for atomistic systems. Familiarity with uncertainty quantification
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this new hybrid network. Your code will directly enable the next generation of energy-efficient AI clusters. Project scope You will bridge the gap between custom optical hardware and standard AI software
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projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and national