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for real-time decision-making and optimization under uncertainty. Develop techniques for computationally efficient mixed-integer stochastic optimization. Investigate the interplay between energy consumption
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how perishable biological products react inside cold chain unit operations and to pinpoint why some products decay faster. For that purpose, we develop digital twins of the cargo, based on measured air
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the fields of cloud computing, computer networking and immersive systems to develop elastic and cost-efficient cloud-based AI pipeline to tackle climate change and support sustainability. Some of the tasks
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the fields of cloud computing, computer networking and immersive systems to develop elastic and cost-efficient cloud-based AI pipeline to tackle climate change and support sustainability. Some of the tasks
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Your position The successful applicant will work under the supervision of the Principal Investigator (Prof. Dr. Maria Katapodi) and collaborate with members of the CASCADE Consortium, a
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tuition fees will be paid. New turbo products for automotive and energy sectors are being constantly developed by Cummins and the material from which the turbine wheel is manufactured is being placed under
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Stellenanzeige teilen wanted for the next possible date at the Clinic for Child and Asolescent Psychiatry and Psychotherapy. The Department of Child and Adolescent Psychiatry, led by Prof. L. Poustka, is committed
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of