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of nanomaterials. Demonstrating novel device functionalities, generating and analysing multi-technique datasets. Designing, building and optimising characterisation systems. This could include a combination of
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position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by EPSRC. The goal of the programme is to do research in the area of
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The Bartlett lab is searching for two Research Associates/Assistants to join our team. The Bartlett Lab studies the developmental and evolutionary processes underpinning plant morphological
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over 85% of our research classed as world-leading or internationally excellent in the last Research Excellence Framework. Our department is made up of a friendly, and vibrant community of academic staff
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relevant field is desirable. You will demonstrate strong research potential, enthusiasm for the subject area, and a commitment to high-quality research. You will also have experience with network meta
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submit via the Heriot-Watt on-line recruitment system (1) Cover letter describing their interest and suitability for the post; (2) Full CV Applications can be submitted until midnight on Monday 26th May
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protocols for electrical biasing of samples in the microscope. A key task is to process and analyse large 4D-STEM data sets and extract information about domain wall structure and dynamics. The role involves
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mechanics, such as inferring the instantaneous state of a fluid’s velocity field from sensors embedded in its boundary. The research objective is to find the best way to embed simple partial differential
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must be in an aerothermal, ideally gas turbine related field, with experience of rotating rigs at high TRL (4-6). Appointment at Research Associate level is dependent on having a PhD. Those who have
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objective is to find the best way to embed simple partial differential equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new