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Field
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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IST 2744-016 Porto Salvo ELIGIBILITY CONDITIONS Any national, foreign and stateless candidate(s) holding a PhD in Co Computer Science, Architecture and Operating Systems, or related field, and with
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PhD students and postdocs working on related topics in the ShiftLeft project and be involved in supervision. The position is partially funded by WASP. Wallenberg AI, Autonomous Systems and Software
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to work well with minimal supervision and with PhD students and external collaborators. Experience related to performance analysis and optimization, GPU architecture, and code generation are highly
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of coordination mechanisms. You will design software architecture solutions for adaptive coordination, develop software prototypes, and run experiments to evaluate them. Depending on your interests, one relevant
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completed all requirements for a PhD in building sciences, engineering, architecture, urban planning, energy or regulatory economics, public informatics, or a related field prior to being hired
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on the theory of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising
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Integration group within NCCS. Specific areas of research interest include: Flexible, composable storage service architectures that expose useful data container abstractions and interfaces for applications
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learning architectures. Responsibilities encompass conducting independent systems-level research, developing robust software prototypes, executing rigorous performance evaluations, and disseminating findings
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open-source research software packages; Publish research results in high-quality journals and competitive conference venues. Due to the nature of the work, the selected applicant will be required to work