149 evolution "https:" "https:" "https:" "https:" Fellowship positions in United Kingdom
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related to staff position within a Research Infrastructure? No Offer Description We are seeking to appoint a Research Fellow in Bacterial Evolution to join the UKRI FLF-funded research group of Dr Rachel
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development of the project and to work independently and in collaboration to bring the project to a successful completion including establishing and maintaining external collaborations both nationally and
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biopharmaceutical formulations. The postholder will lead on technical development of optical systems, asso ciated data analysis, and integration into high-throughput experimental workflows to accelerate process
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. Expertise in artificial intelligence and machine learning. Recent research experience in the development of first-principle wave models. Recent research experience in the development of numerical codes
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services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of
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relationships are unique within the UK and offer a fantastic opportunity for research and development across a wide range of technology readiness levels. The position is within the Gas Turbine Technology Group
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their suitability. Candidates who wish to be considered at both levels must submit separate applications for each role. This post is funded initially for five years, covering the development of the research group and
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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Applications are invited for an ambitious Postdoctoral Research Associate/Fellow to work on the development of a portable cold-atom based accelerometer. The accelerometer will consist of a compact
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are circular genomic structures that can drive ultra-high copy number amplification and correlate with poor clinical outcomes, yet their evolution, detection, and targeting remain largely unclear. This project