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Professor will be responsible for teaching and research in some of these areas: computer architecture, media, database, algorithms, parallel and distributed systems, etc. Only shortlisted candidates will be
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
23 Jan 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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required. Five years of experience in an academic setting, preferably in an academic program, department, or school. PREFERRED QUALIFICATIONS: PhD or equivalent/parallel degree required. Seven years
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destination. Job Summary The Data Science Institute (DSI) Tech staff is responsible for the design, operation, and security of all computing infrastructure within the Data Science Institute, including research
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projects. You will be responsible for managing and supporting the Science Data Processor High Performance Computing (HPC) infrastructure, including platforms, workload/resource managers, and parallel
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funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute of Organic Chemistry in
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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international team the work at Otago is focused on the production and in vitro characterization of several enzymes in parallel (proteases and hydrolases). This research programme is part of an international
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for a Senior Teaching Fellow position in Politics to begin in August 2026. The appointed faculty member will support students participating in the NYU Global Gateway Program in London . NYU London (NYUL
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Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management