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to stay on top of the state of the art in the field. Communicating project results at all levels, including the academic community, the public at large and decision makers. Contributing to other general
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exciting R&D using state-of-the-art HPC, “Big Data”, and DS/ML methods, and interacting with both researchers and users of these technologies. The appointment is for a period of 18 months, with
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-of-the-art methods (e.g., AI foundation models), as well as on model evaluation compared to traditional approaches (e.g., Convolutional Neural Networks). The candidate will collaborate closely with faculty and
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, ICOS, GAW). Enhancing the operation of state-of-the-art scientific instruments (e.g. ACSM, xACT, AE33) under the framework of the EU H.E. project “Net4Cites”: Real-time monitoring networks and transport
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, which is commensurate with the level of experience of the successful candidate. Responsibilities/activities to be involved in: Perform thorough literature review of the current trends and advancements in
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organizations towards achieving this goal. This position offers a unique opportunity for exciting R&D using state-of-the-art HPC, applied data science methods, big data analytics and data management systems and
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opportunity for exciting R&D using state-of-the-art HPC, “Big Data”, and Data Science (DS)/ML methods, and for interacting with both researchers and users of these technologies. In addition, the successful
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the potential for renewal and opportunities for advancement based on performance and the availability of funding. Candidates will find exceptional development opportunities, including access to state-of-the-art