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development Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career A multitude of staff benefits including sector leading benefits around
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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machine learning tools and working on Linux High-Performance Computing platforms would be highly desirable. This is a highly collaborative role and you will work with scientists and clinicians from other
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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and other material processing techniques, focusing on the integration of organic and inorganic materials. You will carry out in-depth structural and performance characterization, including permeability
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. Both the Department and the University run High Performance Computing services. The Statistics Group within the Department of Mathematical Sciences has 23 academic staff, plus postdoctoral researchers
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Overview As a Research Assistant in intelligent robotics for manufacturing, you will support implementation of advanced control and learning methods to enable robots to perform complex manufacturing
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Medicine at ST4 level or above. You must be eligible to undertake a 3-year Out of Programme for Research (OOPR), with authorisation secured or obtainable to begin no later than February 2026, and have
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our team but also domestically and internationally. A successful candidate will be open to learning new research areas in the collaborations. With a high research performance, there are potential
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/or their active counterparts. • To perform direct numerical simulations of the continuum partial differential equations of fluid dynamics, solid mechanics, soft matter or active matter