266 postdoc-in-postdoc-in-automation-and-control Postdoctoral research jobs in United Kingdom
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molecular biology, fluorescence labelling, and protein-DNA/RNA interactions is essential. Experience in controlling and operating single-molecule/super-resolution microscopes for bacterial imaging, single
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crystals is a must. The key responsibilities are to develop a database of MoSS, to study MoSS with various diffraction methods, to develop code to automate the characterisation of MoSS with diffraction and
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further including to automated platforms to generate large statistical data sets. We will also experiment with untried higher spatial resolution techniques. The large, multi-dimensional data sets will be
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Erwin Reisner in the Yusuf Hamied Department of Chemistry at the University of Cambridge. The project will support the development of biohybrid systems for the controlled synthesis of organic chemicals
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environmental mastitis in dairy herds by improving cubicle hygiene through intelligent, sensor-driven automation. By contributing to this research, you'll be at the forefront of precision livestock farming
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environmental mastitis in dairy herds by improving cubicle hygiene through intelligent, sensor-driven automation. By contributing to this research, you'll be at the forefront of precision livestock farming
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of the mathematical Darboux Transformation in the optical domain resulting in the proposal of the Optical Darboux Transformer (ODT) device to control the nonlinear Fourier spectrum. You will develop your research, in
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to join the Battery Intelligence Group and Control Group at the Department of Engineering Science in-person in central Oxford. The post is funded by UKRI and Fortescue Zero and is fixed-term for 30 months
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Control Group at the Department of Engineering Science in-person in central Oxford. The post is funded by UKRI and Fortescue Zero and is fixed-term for 30 months or until 30/04/29, whichever is shorter
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to reconstruct subsurface defects; Implement image/signal‑processing or machine‑learning pipelines for automated flaw characterisation; Collaborate with the Federal University of Rio de Janeiro, including short