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experimental research and have hands-on experience in molecular biology, genetics and/or genome engineering; have demonstrated creativity and independence in experimental research and are keen to develop and
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biological data is an advantage, but is not required if you bring strong machine-learning expertise and are motivated to learn the biology. Our offer a central role in developing ARCA, the core AI technology
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specialists in magnetic nanoparticles, water remediation, and CO₂ capture. This position offers an opportunity to develop expertise at the interface of plasma processes, surface engineering, nanomaterials, and
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 9 hours ago
of the muon detector and trigger system for the High-Luminosity LHC. These activities are supported by mechanical and electronics engineering departments and workshops. Our ATLAS upgrade projects comprise
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 3 hours ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-PIP-2026-Shekhawat How to Apply A complete application consists of: An application, including academic history, work
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germanium, and executed quantum algorithms on a four-qubit quantum processor. As a Postdoc researcher, you will explore opportunities with semiconductor quantum technology and aim to push the boundaries in
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engineering team The Isaac Science content and education team Colleagues at the Raspberry Pi Foundation developing content for Ada Computer Science Subject matter experts and content developers across STEM
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18 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Physics » Quantum mechanics Researcher Profile Recognised Researcher (R2) Application
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Unit (SPRU), the PDRF will contribute to the design and implementation of two “experimental governance initiatives”. These will develop new transdisciplinary methods to examine governance dilemmas
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materials. The work may include development and application of AI-based protein design methods, experimental characterization of designed proteins, microbial engineering, biofilm design, and high-throughput