54 parallel-processing-bioinformatics-"Multiple" Fellowship research jobs at University of Nottingham
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three-spined stickleback fish, using a mixture of field work, field and behavioural experiments, classical genetics and bioinformatics. The role holder will investigate the loss of male parental care in
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institutions; (ii) interact in a professional manner with industrial partners in a highly multidisciplinary environment; (iii) work to very tight deadlines and manage multiple projects; (iv) Report regularly
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support the aligned research work at Nottingham. Candidates must have significant prior research experience in electrical machines and experience within collaborative projects involving multiple industry
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to focus on computational aspects of the project, in particular the creation of numerical bifurcation tools for the investigation of strongly coupled networks with multiple state-dependent delays. We believe
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research platforms at multiple levels and carried out in-depth industry university research cooperation with world renowned enterprises such as Microsoft and Amazon. In the future, UNNC will incorporate
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mechanics: - The analysis of friction welding machines and the friction welding process. A major industrial project focuses on the determination of key process variables in production linear and inertia
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nodes during breast cancer surgery. The instrument will allow surgeons to check the sentinel lymph nodes during the first surgery, while the patient is still in the operating room, and if needed, remove
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and delivery of this programme grant workstream. You will also support trial development and process evaluation activities for Rapid Eczema Trials. You will be expected to develop new concepts and ideas
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this project as Knowledge Mobilisation lead and will be responsible for driving the strategy and delivery of this programme grant workstream. You will also support trial development and process evaluation
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position that can be applied across a broad range of industrial sectors, bringing the benefits of passive linear optical superresolution to the domain of in-process control for additive manufacturing