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Field
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high-impact events and high-probability events with long-term impacts. It focuses on the development of state-of-the-art infrastructural surrogate models using physics-informed and interpretable ML
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 23 days ago
reconstruct the flow structure and amplitude # Analyses of the back-reaction of the magnetic field on the fluid flow Your profile # Completed university studies (Master/Diploma) in the field of Physics
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4 Jun 2024 Job Information Organisation/Company CNRS Department Institut de physique et chimie des matériaux de Strasbourg Research Field Physics » Condensed matter properties Physics » Solid state
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1 Jun 2024 Job Information Organisation/Company Universidad de Sevilla Department Condensed Matter Physics Research Field Physics » Applied physics Engineering » Materials engineering Physics
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for Students”. All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be
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“interrupted” tests whereby the process is paused or slowed to allow information to be collected at a series of discrete time or load steps. This results in an estimated interpolation of events between capture
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the full application by 31 August 2024. Selection process The University will carefully review your application and consider you for this scholarship. The successful candidate will be made an offer
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service teams, with the scientific objective of studying the physics and chemistry of planet Earth, with a particular focus on coupling observations of natural objects with experimentation and modeling
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for the conversion of glycerol to valorized organic compounds Production and characterization of electrodes for use in state-of-the-art electrolyzers Testing and optimization of an electrochemical conversion process
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, the process of recovering real-space images remains unclear due to the inherent and currently intractable complexity of deep learning methods. In this project you will develop Physics-Aware Super-Resolution