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swarm learning experiments, and provide technical input to establish local machine learning capabilities. The post offers opportunities to work closely with academic and industry partners, both within and
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quantitative background. Demonstrable interest and experience in theoretical neuroscience. Obtained a PhD in computational neuroscience, physics, mathematics, computer science, machine learning or a related
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skills field, ideally at postgraduate or professional levels. - A solid grounding in applied data science, including statistical methods, machine learning, and Programming. - Experience delivering
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completion, preferably with an application of their research in a real-world setting. Coding and software engineering proficiency will be expected if relevant to their experience, e.g. for machine learning
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), electrophysiology (EEG), interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics that support learning and brain plasticity
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We are looking for an organised, proactive individual to help in this varied role. The Learning and Development Coordinator will work within the CAM Doctoral Training Partnership [DTP] to provide
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management studies. The Marketing group at CJBS comprises scholars specialising in marketing strategy and modelling, including econometrics, machine learning, and analytical approaches. In
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This is an exciting opportunity for an experienced, ambitious, talented, and highly motivated machine learning scientist to join our team within the Precision Breast Cancer Institute https
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for industry partners. One of the primary programmes delivers training to enable the upskilling and reskilling of employees to handle complex large datasets using cutting edge statistical and machine learning
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Fixed-term: The funds for this post are available for 2 years. Programming languages provide an interface for developing increasingly complex models in science. However, as computer models grow more