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and problem-solving Qualifications Research Assistant post ● Nearing completion or working towards a PhD in Electronic Engineering, Machine Learning with a hardware focus or related area. Candidates
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-grained simulations, advanced sampling, and machine learning for predicting and analysing short-lived protein conformations. Enhance and automate workflows for reproducible simulations and structure-based
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics
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laminar fMRI studies of prefrontal, auditory, and hippocampal circuits in awake, behaving nonhuman primates. You will hold a PhD in neurobiology, neuroscience, or a related field, with a strong publication
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team, you will apply cutting-edge machine learning and deep learning techniques to dramatically reduce testing cycles. You will lead life cycle analyses, implement advanced health monitoring strategies
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experience in one or more of the following areas: Statistical Modelling, Artificial Intelligence, Machine Learning, Machine Vision, MLOps, Data Analytics, Data Engineering, Data Warehousing, Data Visualisatio