21 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" Fellowship positions at University of Leeds in United Kingdom
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cell spatial data, to develop or apply cutting edge approaches and integrate these datasets to yield biological and clinical insights about brain cancer treatment resistance. You will have a PhD or
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culture of modern babyhood that continue to shape and inflect contemporary understandings and treatment of babies in both public and private realms. This study will develop the first comprehensive history
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Do you want to further your career by applying your quantitative data analysis and modelling skills as part of an international multidisciplinary project on developing early warning systems
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-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self
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statistical methods. We are committed to supporting and developing our team members, through attendance at conferences and access to training in research methods, and will support you to further develop your
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. The small streamwise grooves mimic the denticles of shark skin. The role will use your skills in computational fluid dynamics (CFD) to develop a computational modelling framework using large eddy simulation
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practices. We will support you to develop your independence as a researcher through training and mentoring, whilst also providing opportunities to develop your grant writing skills. Please note that this post
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of Atmospheric Ice Nucleation. The successful candidate will play a pivotal role in building, developing and using a new isothermal diffusion chamber for measuring ice nucleation particle (INP) concentrations in
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. Development and Characterisation of an Alternative Antimicrobial Biomaterial for Regenerative Dentistry Applications (1 position available) The fellowship offers a dynamic and collaborative environment
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synthetic magnetic field observations. Next, you will develop a suite of PINN models, simultaneously constrained by the equations of magnetohydrodynamics and global magnetic satellite data from 1999-present