608 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "The University of Gothenburg" Fellowship research jobs in United Kingdom
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or lars.johanning@plymouth.ac.uk For more information on School of Engineering Computing and Mathematics please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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preparedness and refining projections of glacier evolution across High-Mountain Asia. You will contribute to creating systematic and open access glacial lake monitoring through our Glacial Lake Observatory (http
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to execute research effectively within the specified area; To analyze data meticulously, interpret findings, evaluate scholarly texts, and contribute innovative insights, while adhering to project deadlines
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irradiated materials. This work will be under the supervision of Prof. Enrique Jimenez-Melero, UKAEA Joint Chair in Materials for Fusion (https://www.birmingham.ac.uk/staff/profiles/metallurgy/jimenez-melero
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advised that normally your references will be contacted prior to the interview. For more details and/or to apply on-line please access: https://jobs.nottingham.edu.cn/job/184375/ If you are unable to apply
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Management approval, as appropriate and in conjunction with principal investigators. Manage data handling and interpretation of research results and take the lead in writing papers for publication in
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that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research
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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About Us We are offering an exceptional career opportunity for an accomplished Research Fellow to support the data analysis and data management team
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testing while maintaining compliance. Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability. Design and