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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
strong background in Agentic AI and large language models (LLMs), with demonstrated experience in designing autonomous or semi-autonomous AI systems for complex scientific workflows. The candidate will
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bioinformatics tools for predicting protein aggregation and co-aggregation, followed by large-scale screening of microbial proteomes against the human proteome. This position is open for up to three years and
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transcription is tightly regulated. During early elongation of RNA Polymerase II, it is likely to terminate. Early termination has a big impact on transcriptional output, but how it is regulated is poorly
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large scale programme of neonatal research in conjunction with the Evelina London Children’s Hospital. The post is 10 PA, with 5 academic Pas, 4 direct clinical care, and 1 supporting professional
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the application of the university’s strategy. This position is available within the Faculty of Science and Engineering: http://sciences.sorbonne-universite.fr Within Sorbonne University, the Faculty of Science and
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, the operating regime of future power plants is far beyond that of existing devices requiring to extrapolate the predictions with large associated uncertainties. Recently, tokamak simulations have been shown
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Experience: 5+ years relevant professional level experience or equivalent combination. Must include experience with financial aid administration, large-scale data processing operations, and staff supervision
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environments will provide the successful candidate with opportunities to learn from a large network of talented professionals. Prof. Mariam Jamal-Hanjani is Principal Investigator of the TRACERx study at UCL
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8 Jan 2026 Job Information Organisation/Company alqem GmbH Research Field Physics » Crystal growth Chemistry » Inorganic chemistry Engineering » Materials engineering Researcher Profile Established
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. The project will provide the student with extensive training in large-scale data integration, machine-learning methods, field-based environmental monitoring and eDNA analysis, as well as experience working