530 machine-learning "https:" "https:" "https:" "The University of Edinburgh" PhD research jobs
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, spectropolarimetric inversion techniques, and machine-learning–based approaches, for the physical interpretation of solar images and spectral profiles. Special consideration will be given to applicants with experience
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phase and if a second interview phase is necessary To validate this request, you must validate the form that is accessed at the URL: https://seleccio.uab.cat Any application that is not submitted in
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for personal and career development; Free parking, use of company bicycles, and use of an electric car charging station. Eligibility criteria Completed Master degree or equivalent education at University level
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, their research areas and programmes, are available at: https://mr.ijs.si/en/tender/ Research Field Physics, chemistry and biochemistry, electronics and information science, nuclear technology, energy utilization
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expertise in analysing complex quantitative and computational data and/or rich qualitative data. • Proficiency or skills to learn a statistical software (e.g., R, Stata, Python). • Interest in contributing
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6 Mar 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Computer ingineering Research Field Engineering » Computer engineering Researcher Profile First
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at the latest on the deadline of this call. Requirements Additional Information Additional comments The full text of the call of proposal can be found at the following link: https
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at the latest on the deadline of this call. Requirements LanguagesENGLISHLevelExcellent Additional Information Additional comments The full text of the call of proposal can be found at the following link: https
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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Intelligence/Machine Learning (AI/ML) methods in agriculture (Agro-AI/ML); and Experience in programming with multiple languages (e.g., Java, C/C++, Python) for geospatial information systems, agro-informatic