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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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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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is suitable for part-time employment. Starting date: 15.05.2024 Job description: In this PhD project, you will join an interdisciplinary team working on machine learning under uncertainties. Your goal
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is suitable for part-time employment. Starting date: 15.05.2024 Job description: In this PhD project, you will join an interdisciplinary team working on machine learning under uncertainties. You will
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analytical skills and substantial experience in machine learning at scale are required. Detailed information on the requirements for the role can be found in the further particulars. The position is for 1 year
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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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of hyperactivity. UA Institute for Computer Research” and “Smart machine learning for business modelling and analysis. Department of Software and Computing Systems.” Reference: I-PI 37-24 Funding agency: Valencia