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Jan. 2026, based in the University of Birmingham UK. This position will use further develop the novel AI/machine-learning (ML) approach in Chen et al. (2022 & 2024, Nature Geoscience ) and apply
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modelling and computer simulation to study the earliest stages of embryogenesis in mammals. This full-time post in the group of Dr David Richards at the Living Systems Institute (http://projects.exeter.ac.uk
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research themes? Do you want to further your career by undertaking an PhD in one of the UK’s leading research intensive Universities? The University of Leeds is one of the top 75 universities in the world
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pension schemes Generous benefit schemes, including car leasing, cycle to work, holiday purchase, home & technology scheme and shopping discounts Find more information about the many other benefits
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Mamatha Nagaraj, Prof Helen Gleeson, Prof Gordon Love, and Dr Richard Mandle and at the University of Leeds. You will have an experimental PhD degree (or have submitted your thesis before taking up the role
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calculations. Conduct Accurate Calculations: Perform accurate wavefunction calculations on high-performance computer clusters to generate ab initio reference benchmarks. Collaborate and Publish: Work closely
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tools such as R, Python, or MATLAB as well as relevant machine learning frameworks Experience in statistical data analysis, and expertise in areas such as experimental design, linear/nonlinear models
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
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will have: A PhD degree in Biomaterials or equivalent, preferably in the field of nanocarriers for the delivery of therapeutics agents. Previous experience of working as an effective member of a research
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completion) relevant to research area (immunology). Expertise in flowcytometry and/or fluorescent microscopy. High level of analytical capability, especially in the understanding and analysis of large data