241 computational-physics "https:" "https:" "https:" "https:" "Caltech" scholarships in Netherlands
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to the collaborative nature of the project, regular physical presence is expected Where to apply Website https://www.academictransfer.com/en/jobs/358284/phd-position-just-production-ar… Requirements Specific
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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 Welcome to Maastricht University! We are seeking a PhD Candidate for an ERC
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: RNPUs, Nature 577, 341-345, 2020 . In this PhD project you will work on applying RNPU networks for solving computational problems that are considered hard. Where to apply Website https
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an Article 9 certificate to work with laboratory animals is a pre-requisite; a strong (proven) interest in numerical and computational/physical modelling of force transmission onto objects is preferred and/or
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Blockage of transcription by the gradual accumulation of DNA
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7 Jan 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Cybernetics Computer science » Programming Engineering » Computer
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Deadline 22 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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performing state-of -the art atomic physics experiments and developing quantum technology. We will develop a new platform for quantum computing, based on qudits encoded in 173Yb+ ions. Yb+ ions are used in
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Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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the following is an advantage: AM, Circular production systems or process chain integration; AM, computational materials databases or AI-based material modelling. Proficiency in programming and modelling tools