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– NSF CBET project on sustainable computer networks, with a focus on carbon emissions reduction and network telemetry. You will contribute to the development of a framework that reduces the carbon
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, optogenetic and electrical stimulation, neuromodulation and lesion-based validation, signal processing, computational network analysis, and dissemination of results. The postdoctoral associate will work with
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at the University of Arizona is seeking a postdoctoral research associate to develop theoretical and computational approaches for understanding how biological neural networks organize activity through nonlinear
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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 The Association Transylvanian Institute of Neuroscience (TINS) is organizing
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: Ph.D. in Physics, Computer Science or closely related areas Preferred: Demonstrated strength in one or more of the following. - Quantum many-body numerics: tensor-network methods, variational Monte Carlo
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the past few decades, remarkable progress has been made toward constructing functional quantum processors. However, to build fully capable quantum computers and networks, a wide range of complementary
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. This project is funded by the European Space Agency (ESA) and is and is fixed-term for 24 months. The project “TMNT – Threat Monitoring Networked Team” will develop multi-robot scouting approaches to explore and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 18 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Center for Sustainability Science & Strategy, to join an international team of scientists working as part of the global AGAGE network and a large
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Recognised Researcher (R2) Application Deadline 12 Oct 2026 - 21:59 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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important pathogens. About you The successful candidate will develop and apply genome analysis pipelines to identify potentiating mutations and/or gene gains on projects across the IOI and PubMLST network