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is optimised for deployment across diverse industrial sites. Candidates should already hold or be nearing completion of a PhD in chemical/biochemical engineering, process systems engineering
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postgraduate demonstrators. It is envisaged that the post holder will provide support for marking student work as and when required. The successful candidate will hold a relevant PhD in a Biomedical Sciences
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the University joined the Alan Turing Institute, the UK national institute for AI and Data Science. As a University of Manchester staff member you will be fully supported in any application to become a Turing
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behavioural, physiological, and environmental acoustic variables. This post would suit someone with a PhD in biomedical engineering, data science, machine learning, experimental psychology, audiology, cognitive
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We are looking for an ambitious Research Associate who is passionate about generative AI, synthetic data, and in-silico trials to join our multidisciplinary team. You will work with colleagues who
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leverage clinical and experimental datasets, apply physics-based simulations, and harness the power of scientific machine learning, including data assimilation and uncertainty quantification. Additionally
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approach is one of the distinctive features of data science at Manchester. You should have a PhD (or equivalent) in statistics or a similar field, and be developing your publication record. You should have
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primary cultured hepatocytes. These in vitro data will be subsequently used to inform mechanistic physiologically-based pharmacokinetic and pharmacodynamic (PBPK-PD) models, enabling bottom-up predictions
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to demonstrate the following: is in possession or close to submitting a PhD degree in a relevant discipline (e.g. physics, materials science, computer science, electrical & electronic engineering); has hands
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required Work closely with senior technology leads to ensure the timely and appropriate flow of data and protocols across the platforms to support the scientific vision. What you will get in return