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Field
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it using a combination of CFD modelling and running What-if-scenarios to support environmental decision-making and policy development with a focus on vulnerable coastal habitats in Ireland
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standards, development of research protocols, and coordination of multiple research projects. Assists with the instruction and training of students, fellows, residents, and research assistants.in laboratory
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focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust
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and structural drivers of health, from a variety of administrative and population data sources. They will contribute to the development of peer-reviewed manuscripts, scientific presentations, and grants
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project to reveal the interaction of galaxies and their cosmic web environment with hydrodynamic simulations based on our new SWIFT code and COLIBRE, a novel state-of-the-art galaxy formation model. You
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Associate will contribute to ongoing projects and have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding
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Developer, IT Technician, etc No Driving on behalf of the university (MVR Check only). No Those working in the Athletics Department who travel with students to events. No Working within museums
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facilities, and opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and live in Finland. For more on the University
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Postdoctoral position: Developing a human lymphoid organ-on-chip to evaluate candidate mRNA vaccines
A post-doctoral position is available to develop a 3D model of a human lymph node and apply this model to preclinical vaccine evaluation. The successful applicant will join the team of Lisa
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proteins. The Gormley Lab has been developing these data driven tools to explore highly complex problems in macromolecular chemistry. It is our strong belief that machine learning, when complemented with