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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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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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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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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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, at the University of Cambridge, UK. The Research Assistant will work together with a team of students and research collaborators on the development of learning-based control policies that facilitate
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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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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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multi-omics datasets. - Developing existing and novel techniques, including machine learning. - Opportunities to collaborate with researchers in the Cambridge Centre for Artificial Intelligence in