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happens, and how it can be made better. This is a role for someone who’s excited to work with big, messy, real-world data — and who wants to do more than just build models. We’re looking for a researcher
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invites applications for a research scientist position, who will work with Dr. Ahmed Aziz Ezzat at ISE to support a project of designing data-driven models for large-scale atomistic simulations used
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duties will include; but, are not limited to the following: triage paperwork, maintain filing systems, data entry, prepare and distribute correspondence, answer incoming phone calls, fax/photocopy/scan
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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Department of Data Science and Artificial Intelligence Research Assistant (Ref. 250324001) [Appointment period: six months] Duties The appointee will assist the project leader in the research
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Assistants is £32,546 - £35,116 and for Research Associates this is £37,174 - £45,413 per annum. Suitable candidates should have previous experience of genetic analysis of large scale genome sequence data and
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work on large-scale understanding of coastal wetlands - primarily mangrove forests and tidal marshes. This will include mapping and modelling of distribution, value, condition, and opportunities
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the SG100K team to shortlist participants for recruitment Run focus groups to get user feedback on procedures and concerns Check data flows, analyze the data to inform future large-scale implementation Write
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decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both
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Requirements: PhD degree in physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in