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Your Job: In this position, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following
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Duration: 3 years Start date: August 2026 at latest The students will be enrolled in the structured PhD programme in the Department of Bioengineering, Imperial College London. https://www.imperial.ac.uk
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such as chemistry, industrial production environment, operation and maintenance technology, fluid mechanics and economics. To strengthen our research in ore geology and mineral systems analysis, we
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the research field at the Department by generating new research projects that involve other faculty members within the research group and attract PhD students. Research activities are also expected to be
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD
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-Doctoral fellows, 40 PhD students, and 52 Executive Master students. The department is organized in 4 Scientific Areas: Energy (batteries and hydrogen), Polymers and Composite Materials, Surface Science, and
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Physics / Atomic Physics , Astronomy and Astrophysics , Biophysics , Chemical Physics , Condensed Matter Physics , Fluid Physics , Optical Physics , Plasma Physics , Quantum Computing , Quantum Information
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. This PhD project will investigate how biofouling affects the hydrodynamic, thermal and fluid-structure interaction performance of dynamic flexible cables and develop novel engineering solutions to enhance
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). The Lecturer I position will teach NERS 344 Fluid Mechanics for Nuclear Engineers (3 credits). The expected percentage of effort for this position will be 30%. Course Description: Mass, momentum, and energy
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world. We look forward to receiving your application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is