162 phd-position-in-microfluidics-and-biosensors Postdoctoral positions at University of Oxford in Uk
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establish and validate microfluidic co-culture systems using human glomerular cells and benchmark these platforms against human kidney multi-omic and spatial datasets. These systems will be further developed
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collaboration between an engineering group with expertise in fluid walls, microfluidics and automation and a biology group (DPAG) with expertise in iPSCs and neuron cells. These groups have worked together
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We are delighted to offer a 28-month position for a Postdoctoral researcher to join the hyperpolarised Xenon-129 and Carbon-13 (13C) groups at the Oxford Centre for Clinical Magnetic Resonance
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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
contribute to the strategic vision and long-term planning of Oxford’s research in technical AI governance. You should possess a PhD/DPhil in machine learning, computer science, engineering, or a closely
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(computational and experimental postdocs, PhD students, research assistant) with access to cutting-edge experimental and computational facilities. The postholder will have the opportunity to regularly interact
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thermodynamics. You should possess a relevant PhD/DPhil (or be near completion). Experimental expertise in electrical characterisation of quantum devices at cryogenic temperatures is essential. As is excellent
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interferometric scattering into an even more powerful tool in all areas of life sciences. Applicants for this position must hold a PhD in Chemistry or relevant subject area, (or be close to completion) prior
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of research articles for publications. You will join a thriving group of researchers whose focus is on avian flight and vision, set within world-class flight lab facilities at the John Krebs Research Station
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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prepare the work for publication. You will have a PhD/DPhil in health modelling, or related subject such as health economics or public health. You will need strong data analysis skills (such as in STATA and