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Department with significant expertise in Machine Learning/AI are available to help provide overall guidance and strategy to the postdoc. Stanford Departments and Centers: Anesthesiology, Perioperative and Pain
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the application of statistics and machine learning in social science. The position requires no teaching, though teaching opportunities may be provided if requested. When teaching, successful candidates will carry
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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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Researcher in The School of Chemistry. The InTeleCat project involves the use of machine learning and AI as applied to organic synthesis. It is a large collaborative project involving researchers in the US
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(postdoc) Limited until: 14.10.2032 Reference no.: 5906 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re
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domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School
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data and multimodal datasets combining imaging and molecular measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with
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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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Vacancies Postdoc in Sustainable Circular Business Models and Finance in Hubs for Circularity Key takeaways The Challenge As process industries transition to circular models, companies within Hubs
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of the faculty mentor; and publication of research findings/scholarship during postdoc appointment period. The Coleman lab studies the neurobiology of novelty: how evolution modifies neural circuits to generate