73 optimization-nonlinear-functions-"Prof" Postdoctoral positions at Technical University of Denmark in Denmark
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researcher, you will join an international research environment with strong and open scientific interactions. Specifically, you will: Take a leading role in shaping and driving enzyme characterization
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funded for 4 years by EU Horizon RIA with partners in Denmark, Germany, and France. You will be part of our team aiming to develop and utilize advanced X-ray techniques in the ultrafast time domain
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strong commitment to the green transition, especially in advanced thermal systems such as Carnot batteries, thermal storage, and high-efficiency heating. As part of DTU, you will contribute to cutting-edge
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positions are attached to four different collaborative projects with related but distinct goals, all making use of our expertise in squeezing-based entangled states of light: ClusterQ (ERC): A platform for
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POTENT project, we are working with Living Lab Networks including academic and industrial partners and ports to accelerate the green energy transition by investigating the use of ports as energy hubs
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. Neil Sinclair and Prof. Marko Lončar), where TFLN devices will be fabricated at DTU and TFLT at Harvard. Scientific Environment The project is funded by The Novo Nordisk Foundation and anchored at DTU
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, here is your chance to join our work on power-to-X (PtX) and energy storage. We invite applications for two postdoc positions in the field of PtX, electrolysis, electro-thermal energy storage such as
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multiple systems Driving use-case studies that demonstrate the benefits of semantic integration, e.g. in scheduling, resource sharing, or formulation optimization Collaborating with chemical engineers
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coating production and coating use. Test methods Reliable and fast test methods to optimize coating performance is of utmost importance in coatings development. We work on new test methods and optimisation
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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured