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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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Full Announcement and Application at https://www.jobbnorge.no/en/available-jobs/job/260803/phd-fellow-in-knowledge-driven-machine-learning The positionJoin Integreat, a Norwegian centre of excellence
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Scholarship for the PhD in Medical Sciences in the field of Sleep Science and Neuroscience for thePhD Research Project ‘PHD-2023-3: Development of a Machine Learning-based nightmare detection method
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Job description:Title: DC13, PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the
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PhD in remote sensing, geophysics, computer vision, machine-learning, geography or similar Experience in handling netcdf and shapefiles in Python (xarray, geopandas) Experience in image segmentation and
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independent researcher, including through grant writing, independent papers, consulting, trainings. The skills, qualifications and experience required to perform the role are: PhD in Machine Learning, Climate
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Qualifications • PhD awarded (or nearing completion for appointment at Assistant level) in Machine Learning Desirable • Evidence of Continuing Professional Development (CPD) Newcastle University is a global
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Applications are invited for a Research Assistant or Research Associate to work on efficient machine-learning systems for earth observation. The post holder will be part of the Computer Architecture
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learning and/or atmospheric chemistry2. good publication records and/or project experiments on related topicsWhat we provide:1. full PhD salary2. joint supervision from both the University of Helsinki and
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Project Overview This project is at the intersection of machine learning, differential equations, and numerical weather prediction (NWP). This collaboration with the Met Office integrates advanced