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seeking a highly motivated doctoral student to study physics- and thermodynamics-informed machine learning (ML) for the mechanics of material failure. The project focuses on learning the effective behavior
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may be placed on either component. This interdisciplinary project bridges the gap between granular physics and materials science.Main roles and responsibilities:Research in this project involves a
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The Data-Driven Mechanics Laboratory is seeking a highly motivated doctoral student to study physics- and thermodynamics-informed machine learning (ML) for the mechanics of material failure
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external scientific and industry partners. As part of this process, you will support our master students, publish in scientific journals, and participate in conferences. Your profile You are a highly
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degree (or equivalent) in geochemistry, mineralogy, chemistry, physics, materials, or environmental sciences Creative, hands-on personality Motivated and able to work in the laboratory Ability to work in a
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15 May 2024 Job Information Organisation/Company Paul Scherrer Institut Villigen Research Field Physics » Chemical physics Researcher Profile First Stage Researcher (R1) Country Switzerland
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from candidates of any race, gender, sexual orientation or physical ability. For further information or questions, please contact [email protected] Requirements Research FieldAnthropologyYears
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also be needed for the transition to chemical production from sustainable feedstocks and chemical recycling. Computer-aided catalyst design aims to accelerate the currently slow process of catalyst
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drug screening platforms, with a focus on skin tissue models. We are embedded within the Tibbitt group, in the Macromolecular Engineering Laboratory at the Department of Mechanical and Process
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analyze the data. Your task will be to correlate biomarkers derived from rTMS and NIRI with clinical outcomes, in order to personalize stroke rehabilitation and improve the recovery process. Statistical