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of electrocatalyst materials. The aim is to develop a framework to predict metastability of catalyst materials. Among the methods used will be Density Functional Theory, statistics, machine-learning and dynamics
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/postdoc-in-meaningful-human-con… Requirements Additional Information Website for additional job details https://www.academictransfer.com/364464/ Work Location(s) Number of offers available1Company
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- excellent command of English (spoken and written), sufficient for preparing scientific publications and presenting research results at conferences, - knowledge of machine learning methods, - sufficient
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researcher to start in February 2026. The primary responsibility of the postdoc is to perform basic or applied research of a limited scope, primarily using existing theories and methods, ensuring
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practices. It encompasses design and research methods that connect programming, digital modelling and simulation with physical experimentation, material behaviour and computer-controlled fabrication
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/nanoplastics, and other environmental compounds to assess their potential impacts on human health and the environment using machine learning (ML), deep learning (DL), and big data analytics. His lab is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States
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interface of machine learning, deep learning, data science and applications in forest sciences. Together with the Director, you will further develop KIForst as a faculty-wide platform for methodological
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with