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will play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Statistical and Machine Learning approaches, whilst leading a broad range of
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innovative approaches to your leadership of academic programmes, devising creative solutions to complex challenges that drive strategic impact. We are UAL University of the Arts London (UAL) generates and
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, and with strong administrative leadership gained in a large, complex, and diverse higher education environment. The Dean is the chief intellectual leader of the College and an advocate for the mission
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and guidance to managers and staff across UAL. You’ll support a wide range of people management matters including complex employee relations casework, organisational change initiatives, and
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conditions, assisting with risk assessment to ensure that students deemed high risk, or with complex needs, are supported and safety and risk interventions are co-ordinated effectively. Provide mental health
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sensors, communicating over networks, to achieve complex functionalities, at both slow and fast timeframes, and at different safety criticalities. Future connectivity of the next generation of multiple
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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methods to address complex challenges in economics and business. In addition, the DataScience@Uni Vienna research network offers extensive opportunities for cooperation with researchers from various
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project, offering the successful candidate the opportunity to engage with a network of over 19 academic and industry partners from across Europe. The PhD student will also have the opportunity to present
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in delivering high-quality clinical trials, particularly those involving complex interventions across primary, secondary, and social care settings. The trial portfolio is led by Principal Investigators