113 Computer-Science-"https:"-"Data-driven-Materials-Modeling" Fellowship positions in Norway
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- University of Oslo
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- University of South-Eastern Norway
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
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Department of Computer Science and Computational Engineering, and the Department of Geosciences. Research infrastructure is provided via existing data, sensor networks, and established field sites along
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-jobs/job/305184/phd-research-fellow-in-computer-science-ai-for-energy-informatics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/305184/phd-research-fellow-in-co… Requirements
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to a Norwegian doctoral degree (PhD) within Marine engineering, applied mechanics, physics, computer science or similar fields; or must have submitted his/her doctoral thesis for assessment prior
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of Mathematics and Natural Sciences (https://www.mn.uio.no/geo/english/research/about/infrastructure/facilities/observations/geosciences/the-drone-infrastructure-laboratory/ ). The position is embedded in a
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at University of Oslo, in close collaboration with the machine learning group at the Department of Informatics. About Integreat See the video for more information about Integreat. ... (Video unable to load from
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these activities. Methods will include synthetic medicinal chemistry, chromatography, spectroscopic and analytical techniques (HPLC, LC-MS, and GC), as well as computational tools. An integral part of the work will
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enrolled in the PhD programme at the Faculty of Mathematics and Natural Sciences. Within two months of commencing the position, the candidate must submit a PhD agreement, including a plan for the required
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Fellow – Advanced 3D Tissue Models, Exosomes and Secretomics Apply for this job See advertisement Position Details and Project Description Biomaterial Science (BIOMAT) / Institute of Clinical Dentistry
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. We also run an advanced drone lab on behalf of the entire faculty of Mathematics and Natural Sciences (https://www.mn.uio.no/geo/english/research/about/infrastructure/facilities/observations
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programme at the Faculty of Engineering Science and Technology and participate in organized doctoral studies within the employment period. Admission normally requires: A bachelor's degree of 180 ECTS and a