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they learn, PRL134, 147402 (2025). Qualifications We seek candidates with: A PhD in physics, applied mathematics, materials science, mechanical engineering, computer science, or a related field. Strong
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the functional diversification of synapses in defined neural circuits. In this project, you will use an array of approaches, including CRISPR/Cas9 genome editing, viral vector technology, and quantitative super
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from Engineering sciences also involved in TRUPASS, you will help develop and validate a Trust Strategy Framework through industry case studies and stakeholder engagement. The research will generate
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Incurvati, and will collaborate with him and the other team members. In addition to the PI and yourself, the research team will include a postdoc working on propositions, a PhD student working on properties
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him and the other team members. In addition to the PI and yourself, the research team will include a postdoc working on provability, a PhD student working on properties, and a PhD student working on
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Engineering » Materials engineering Researcher Profile Recognised Researcher (R2) Application Deadline 22 Feb 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours
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, collaborate openly across institutions, and have the stamina to push through the engineering challenges that come with real-world physical AI. Your experience and profile: a PhD degree in Computer Vision
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-translational (U-Fr, a PhD position) mechanisms that regulate suberin deposition in specialized root cells, which play a vital role in protecting plants from environmental stresses such as salinity. The project's
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15 Jan 2026 Job Information Organisation/Company Utrecht University Research Field Engineering » Simulation engineering Engineering » Water resources engineering Environmental science » Ecology
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precision already after just a few minutes, which is useful for many applications. We want to achieve this by creating clocks that can operate truly continuously, using technology that we have developed