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Assistant under the supervision of Prof. Antonio J. Gil, in order to meet the research objectives of an awarded Research Fellowship in the area of control modelling of EAP driven soft robotics. Specifically
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of publications in computational biology or related fields appropriate to career stage. Experience with pangenomic analysis tools and methodologies. Experience with version control systems (Git) and reproducible
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technologies. About the role This position will help to deliver the goals of the project by helping to develop the photonic integrated circuits needed to generate the THz control signals and deliver them
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opportunity to work in at the intersection of statistics and epidemiology, and features an exciting case study involving novel GM and gene drive interventions for control of malaria-transmitting mosquitoes
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with colleagues at University of Surrey to develop new understanding on ion-exchange membranes, focussing on developing novel environmental-controlled terahertz spectroscopy, systematic experimental
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quality control protocols. Beyond identifying a scientifically optimum observational network, you will contribute to shaping an observational strategy that is not only scientifically robust and resilient
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of sewer network and overflows to support effective management, and develop strategies to control pollutions at sources. The post will include delivering research outputs in the form of weekly reports
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Demonstrate proficiency in R/BioConductor and High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Ability to assess resource
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fidelity software-based simulation tools to advance the design, optimisation and manufacture of magnetic field shielding and control systems for a diverse range of applications. These field control
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Demonstrate proficiency in R/BioConductor and High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Ability to assess resource