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and accelerating the development of next-generation inorganic and hybrid crystalline semiconductors for the net-zero carbon transition. Materials explored will expand from an initial selection
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theses Create reporting data and provide it for tracking progress Work together with our national and international collaborators Your network and team You will work in the QCD group as a Postdoctoral
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, quantitative and qualitative data analysis; and working with a network of European collaborators (the EuroWISE collective). Work Package 2 (Analysis and Data Management): The PDRA will be responsible for data
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and vibrant cities. Networking opportunities include visits to national and international collaborators (e.g. David Owald, Charité Berlin; Lisa Scheunemann, Free University). Role Summary Work within
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collaboration between RCA, UCL’s Warning Research Centre, GNDR (Global Network of Civil Society Organisations for Disaster Reduction), UAL’s CRiSAP (Creative Research into Sound Arts Practice), and other partners
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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addresses subsurface uncertainties and evaluates commercial viability, promoting regional awareness and policy development for strategic alignment with regional and governmental priorities in relation to Net
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process. Algorithms will in the first instance be designed for radio astronomy and validated at extreme scales, leveraging dedicated high-performance computing implementations. Technology transfer
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History. You will be part of the Department of History and will work closely with colleagues here in Vienna as well as with international research networks. Your future tasks: Active participation in
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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor