14 parallel-computing-"INSERM" Postdoctoral positions at DURHAM UNIVERSITY in United Kingdom
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into algorithms for the Lov sz Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted in collaboration with Dr. Davies-Peck, but successful applicants will also be
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The Role This post holder will be responsible to develop next generation non-terrestrial networking (NTN) technologies and demos , including satellite, UAV-based edge computing, integrated sensing
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, Mechanical, Thermal Engineering or Computer Science. Experience Experience in conducting high quality academic research. Demonstrable ability to write material of a quality commensurate with publication in
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, to identify promising research directions, to develop new research methods, to implement those methods in computer code, and to evaluate their performance on various data sets and applications. To take part in
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. The position is associated with a project funded by the EURAMET - the metrology component of the European Union Horizon 2020 Programme. The post holder will be expected to display the initiative and creativity
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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The Role The Department of Theology and Religion at Durham University, in partnership with the Society of the Sacred Heart, invites applications for a 36-month Fellowship in Catholic Social Thought and Practice. The successful applicant will be expected to work on a research topic of their own...
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The Role The position is fixed term for up to 33 months and funded by the EPSRC Hub on the Mathematical and Computational Foundations of AI, titled "Mathematical Foundations of Intelligence
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Researcher (R3) Country United Kingdom Application Deadline 5 Apr 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a
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research areas relevant to the project: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment