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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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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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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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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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Process and analyze omics data Construction and analysis of dynamic, statistical and or machine learning models Collaboration with multi-disciplinary teams Preparation and presentation of results in open
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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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the development and commercialisation process, the reduction in the amount of API used for experimental purposes will significantly reduce a project’s carbon footprint. As such, the ability better characterise, and
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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
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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