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the supervision of the Principal Investigator, including but not limited to the following: Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial
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-relevant outputs. Your key responsibilities will be to: lead and conduct evidence syntheses, systematic reviews and meta-analyses to support melanoma and skin cancer research projects undertake evidence
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To contribute to the creation of sample size calculations for Individual Participant Data (IPD) meta-analysis projects by undertaking a range methodology research activities within an NIHR-MRC funded project
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The principal aim of the post is to undertake evidence syntheses that are identified as priorities by the Evidence Synthesis Programme of the National Institute for Health and Care Research (NIHR
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the Principal Investigator (PI) on the project “Meta-Learning of Robust State Estimation for Agile Mobile Robots.” The position focuses on advancing state estimation and odometry for robotic systems, with
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related to staff position within a Research Infrastructure? No Offer Description The principal aim of the post is to undertake evidence syntheses that are identified as priorities by the Evidence Synthesis
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coordinating electricity, heat, cooling, and hydrogen flows in distributed energy networks. While the primary focus is on developing a scalable and economically viable energy management solution, potential case
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control methodologies) the project will establish a robust framework for coordinating electricity, heat, cooling, and hydrogen flows in distributed energy networks. While the primary focus is on developing
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records. For any informal queries about the role or the team, please contact the project’s Principal Investigator Dr Mahdi Bodaghi at [email protected]
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to build AI models for biomarker discovery and drug target identification. The selected candidate will perform a variety of research activities under the supervision of the Principal Investigator, including