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Applications are invited for a Research Associate/Fellow to join a research project in the Nottingham Nanoscience group (uonmmm.com) that focuses on imaging and spectroscopic probing of novel magnetic samples. This involves close collaboration between the Nanoscience and Spintronics groups in...
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background in Molecular Virology and RNA biology? Do you want to further your career in one of the UK’s leading research intensive Universities? Project Title: Understanding the manipulation of ncRNAs during
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work on a project to conduct research on learning from human demonstrations for robot manipulation used in household service and manufacturing. The roles of this position include: Develop robotic
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biology techniques, including DNA manipulation, PCR, and molecular cloning. Conduct protein expression, purification, and characterization using methods such as spectrophotometry, HPLC, and SDS-PAGE. Design
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blotting, histology, and genetic manipulation methods such as knockdown, knockout, and overexpression. Applicants should have a strong record of peer-reviewed publications and demonstrate excellent written
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that approximate natural settings, while allowing electrophysiological recordings, high-resolution optical imaging and optogenetic manipulation. In the current project, we are interested in studying learning and
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, proven expertise in trypanosome genetic manipulation and functional analysis, as evidenced by first name authorship, proven expertise in the generation and analysis of proteomic and RNAseq data, as
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, proven expertise in trypanosome genetic manipulation and functional analysis, as evidenced by first name authorship, proven expertise in the generation and analysis of proteomic and RNAseq data, as
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the Department of Cancer and Genomic Sciences. Their main role will be to apply and develop new methods of precise genome manipulation and subsequent in vivo phenotyping (e.g. high resolution 4D imaging) and
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augmentation, manipulation and dexterous manipulators, telepresence and teleoperation, industrial automation and robotics, active perception and learning, inspection robotics, hyper-redundant robots, robot