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processes. Applications from highly qualified, strongly motivated individuals are invited for a position of Postdoctoral Research Assistant in the project “Performance-driven design of Aluminium alloys
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” (PAAM) in the department of Engineering, Computing and Mathematics (ECM) at Oxford Brookes University, Oxford, U.K. The position, funded by the Engineering and Physical Sciences Research Council (EPSRC
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, assembling, and testing electronic systems, and have familiarity with the principles and operation of optical imaging methods and technologies. Demonstrable skills in data processing and computer-aided design
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/Qualifications What we are looking for You will be highly motivated and excited by the science with a background in neuroscience and experience in neuronal imaging technologies, and looking to use this role as a
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internationally recognised for its research in craniofacial biomechanics. Located in UCL Mechanical Engineering and supported by state-of-the-art imaging and material characterisation facilities, the lab focuses
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. We have an exciting opportunity for an enthusiastic and motivated postdoctoral Computational Biologist to contribute to multimodal data integration as part of a translational genomics programme within
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-motivated postdoctoral researcher with a strong background in biology and experience in bioinformatics. Experience in multiplex proteomics and sequencing analysis and a track record of effective communication
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-motivated postdoctoral researcher with a strong background in biology and experience in bioinformatics. Experience in multiplex proteomics and sequencing analysis and a track record of effective communication
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, including animal models of hypertension and PE, cell culture, imaging, molecular biology approaches as well as RNASeq and other ‘Omics’ datsets and bioinformatic and pathway analysis. This PhD project will
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scientists, bioinformaticians, clinicians, and experimental scientists. References Fu X, Sahai E, Wilkins A. Application of digital pathology-based advanced analytics of tumour microenvironment organisation