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learning model to predict the dipole moment and polarizability of atoms calculated with density functional theory and then using the values to calculate electric field applied forces in molecular dynamics
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for analysis of routinely collected healthcare data. They will have experience in designing and implementing economic evaluation models, including decision-analytic modelling, and good knowledge
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systems, ML model training, and model deployment, and demonstrated record of advising non-technical stakeholders on technical topics. Excellent communications skills, previous experience of contributing
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learning, and data science, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models
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. vector design and generation, genetic murine models, and/or genome editing), a strong understanding of physiology and disease models, as well as a track record of innovative scientific contributions
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resilience to stressors in fish. The aim will be to integrate technology to develop the knowledge base for understanding stress resilience behaviours in Asian Seabass in farm conditions using laboratory model
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resilience to stressors in fish. The aim will be to integrate technology to develop the knowledge base for understanding stress resilience behaviours in Asian Seabass in farm conditions using laboratory model
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observational campaign on Folgefonna, a coastal ice cap in Western Norway, to establish an Earth System Model snow intercomparison dataset. This dataset will be complemented by in situ and UAV datasets
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systems, ML model training, and model deployment, and demonstrated record of advising non-technical stakeholders on technical topics. Excellent communications skills, previous experience of contributing
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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