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for Applied and Theoretical Econometrics (CATE). The doctoral programme is an important element in the department’s research excellence strategy and in BI’s vision to become one of the leading research business
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About the position Faculty of Environmental Sciences and Natural Resource
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Application Deadline 29 Aug 2026 - 01:06 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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when high-quality DNA or close reference genomes are unavailable. As part of a Novo Nordisk Foundation-funded project, you will design and implement computational pipelines, conduct comparative
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design up to phased-array implementations (3 vacancies) With its partners, the University of Twente founded POLARIS, a programme running under the Dutch National Growth Fund (NGF). It realises
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30 Aug 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 29
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its
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Deadline: 31 August 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing”. This position
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep
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cross-disciplinary research initiative involving both computer and material scientists, providing excellent opportunities for practical impact by taking the outputs from the developed machine learning