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’ active and healthy ageing. Methodologically, the project plans to apply interviews, collect large-scale survey data and conduct one large randomized controlled trial. The application deadline is 15 May
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secure and efficient procedures for managing and storing large volumes of research data in various forms. We offer this opportunity in an engaging and inspiring research and educational environment with
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description. The applicant must have excellent professional proficiency in English (written and spoken). Required: Strong knowledge of how to use AI and large language models (LLMs) for data extraction
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Assistant Professor position in Computer Science with a Focus on Interdisciplinary Data Science_3...
, development, and maintenance of robust and scalable solutions for large, collaborative research projects. This includes the ability to integrate heterogeneous data sources, support reproducible workflows, and
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catalysts for C–H activation, or Development of quantum chemical methods for transition metal systems, with a particular focus on methods for large, complex systems (proteins, enzymes, and condensed phases
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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– sharing, e.g., in working with students as they learn to manage their own data. You have a high proficiency in English, are culturally sensitive, and can work in a large group of diverse colleagues and
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experience with project management and a personal drive to lead part of a large-scale mission driven research project. At this point in your career, you are highly motivated to lead a team which advances
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computing (HPC), and AI are strategic focus areas. At the department, you will be part of a technical team with other academic technicians, who work with large amounts of data, both from computational and
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Data teams of NQCP. Role Description We are looking for an experienced quantum systems modelling profile to help drive our efforts in the development of digital twins of quantum devices. In this role