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teaching. The successful candidate will contribute to the Institute’s research and teaching activities, including the development and application of advanced machine-learning models and big data analytics in
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operational leadership. The successful candidate will further develop our teaching portfolio, including our MSc and BSc programmes, Energy Systems and Data Analytics and Sustainable Built Environments, Energy
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computational researchers at the Flatiron Institute to develop new analytical approaches. Preparing samples and supporting cryo-EM data collection where required. Documenting research, presenting findings and
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applications for a PhD-student (m/f/d; 65%, 3 years in first instance) to work on a large-scale €6m multi-site Wellcome-funded project. This position is suited for researchers who have finished or are about to
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, machine learning and AI approaches. Empower biologists to understand their datasets, using our broad training portfolio to enable data curiosity and develop analytical skills. Design innovative approaches
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economic evidence alongside clinical trials evidence synthesis economic aspects of population health statistical analysis of linked health data decision analytic modeling and simulation incorporating
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in the UK in research excellence in the Research Assessment Framework (REF, 2014), with 100% of our output assessed as internationally excellent or better. PhD: 3 years full-time; 5 years part-time
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information: Synthetic Biology Study options Study options full-time (years) part-time (years) Phd 3-4 6-8 MSc (Res) 1-2 2-3 MPhil 2-3 3-4 Entry requirements Entry requirements 2.1 Honours degree or equivalent
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shape the response to anti-cancer therapy. Recent advances in digital pathology and innovative data analytics including machine learning have enhanced our ability to identify clinically relevant spatial
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topology and environmental statistics. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words MSc (Research): 1-2 years full-time; 2-3 years part-time; MPhil: 2-3 years full-time; 3-4