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to accelerate the translation of laboratory findings into medically relevant applications, with the ultimate goal of improving the quality of life for patients with neuroimmunological diseases. For a project to
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description: GSI Helmholtzzentrum für Schwerionenforschung in Darmstadt operates one of the leading particle accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one
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Accelerator within the Technology Hub. The position is temporary until 31.12.2032. To meet the advanced technology and instrumentation needs of the BioSysteM cluster of excellence, BioSysteM is establishing a
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task essential for grid stability. The goals of the project are twofold. The first goal is to accelerate the solution of the large mixed-integer optimisation problems required to balance energy. The
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Postdoctoral position (M/F) on impedance and dielectric study of solid/solid interfaces in batteries
remain a dominant technology for the foreseeable future, with an enormous increase in demand. In this context, there is a strong incentive for battery manufacturers to accelerate the design of LIBs with
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the thermal and electrical responses of cells and modules in real world conditions and under accelerated stress test scenarios. Utilising advanced experimental tools, this activity will link closely with
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upload your current CV Department Summary The Knight Campus for Accelerating Scientific Impact is an ambitious initiative designed to fast-track scientific discoveries into innovations that improve
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magnetospheres. The goal is to better understand the plasma dynamics, the launching of relativistic magnetized outflows, and particle acceleration in the close environment of compact objects. The candidate will
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. * Experience mentoring or supervising graduate or undergraduate students in a research laboratory setting. * Demonstrated track record of using AI to automate/accelerate scientific workflows. Brief Description
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crystalline materials is often responsible for improved materials performance, but it is commonly overlooked in computational materials design. In this project, we will focus on developing accelerated