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Python, TensorFlow, PyTorch, or similar frameworks. MS or higher degree (PhD preferred) degree in Computational Neuroscience, Computer Science, Bioinformatics, or a related field with demonstrated ability
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in implementing, testing and validating complex minimisation algorithms that can be used for adaptive trials. Application & interview 8 Experience of collaborating on successful research proposals
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ATAC sequencing, spatial transcriptomics, proteomics, whole-genome sequencing, functional screens, bioinformatics, and/or data algorithms including machine learning will be given preference. A successful
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post may be available. The salary range available is UCL Grade 7.31, £45,103 per annum (inclusive of London Allowance). About you Candidates should have a PhD (or about to submit) in Photonics, Quantum
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private grant-making foundation. This prestigious fellowship will be awarded to an incoming PhD student in the Faculty of Forestry whose intended studies fit within one of the following areas of excellence
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) optimise BIM software performance and address challenges, including model processing, data storage, and rendering efficiency; and (e) collaborate with AI algorithm teams to understand the business
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to the development of innovative and sustainable low carbon plastic waste management and recycling solutions. In this project the post holder will develop novel algorithms and methods for analysis of plastic data
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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found online: https://www.jglab.org/ and www.github.com/goekelab Requirements: PhD in Bioinformatics, Computer Science, Statistics, Genomics, or a related discipline Good programming skills and strong
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with rare, resistant, or genomically un-targetable cancers. Responsibilities Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets. Develop