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Field
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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years of research on worker well-being. Grounded in our research, well-being theory, and current evidence, Dr. Susan Peters has led research in the development, validation and implementation of a model
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, behavioural evaluation, probabilistic modelling and ideas from cognitive science, neuroscience and theories of learning. The broader aim is to develop methods that support high-confidence claims about the goals
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benefit from the wider research community within Birkbeck, with opportunities to collaborate with colleagues in the Centre for Museum Cultures, the History and Theory of Photography Research Centre, and
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takes the experience of the applicant into account. This project is about combining techniques from height theory and equi-distribution to make progress on challenging problems in the arithmetic
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other fields, including philosophy, literature (critical theory, poetics, metrics, gender studies), history (post-colonial studies, prehistoric archaeology, human population genetics) and anthropology
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have experience of using molecular dynamics and/or density functional theory methods and a proven ability to structure, manage and work with quantitative data. You will be able to evidence designing and
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: Behavioral Sciences and Consumer Decision-Making The candidate will develop and test behavioral models explaining consumer adoption and purchasing intentions. Potential theoretical frameworks include: Theory
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the application materials and a speech sample during the interview) - good team spirit and ability to work effectively in a collaboration What would be desirable: - in-depth knowledge of the theory
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methods process evaluation within a feasibility trial to refine trial methods, facilitate implementation, ensure intervention fidelity and refine theory of change. You will be responsible for: Recruiting