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Computer Science at Princeton University, with the goal of developing next-generation machine-learningâ“based interatomic potentials (MLPs) for Earth and planetary materials across extreme pressureâ“temperature
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Researcher (R3) Application Deadline 23 Aug 2026 - 00:00 (UTC) Country Morocco Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Deadline 15 Oct 2026 - 21:59 (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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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Materials NMR Lab at New York University Abu Dhabi seeks to appoint a
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multidisciplinary translational neuro-oncology research program focused on immunotherapy, biomarker discovery, and spatial biology. In this role, you will help advance innovative research embedded within investigator
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-classical approaches that combine advances in quantum computing and AI to accelerate scientific discovery and address complex challenges in areas such as materials science, chemistry, biology, healthcare, and
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of Program & Employment Compliance at [email protected] . For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-671-2219 or 479-502
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Postdoctoral Scholar through UCF’s Preeminent Postdoctoral Program (P3) to conduct research at the intersection of structural dynamics and sensing, human-centered intelligent infrastructure, signal processing
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recognised programme in organic semiconducting materials. This is an exciting opportunity to contribute to the development of next-generation conjugated polymers and small molecules for applications in organic
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to heterogeneous integration based on silicon substrates. This approach combines the strengths of different materials within a single PIC platform. In particular, enhancing silicon platforms with efficient III-V