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secure, scalable, and user-focused solutions using a modern toolset including Power Pages, Power Automate, Azure PaaS, and Copilot/AI-driven features. You'll also contribute to the University's digital
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personal protection equipment (PPE). Your responsibilities will encompass developing new robotic benchmarking testing setup, hardware and controller of a robotic mechanical impactor, and data acquisition
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Ability to carry out highest quality cell biology experiments Proven ability to supervise and active engagement in scientific collaboration Desirable: Computational biology, including automated image
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porewaters from our Demonstrator field sites (treated and control plots/catchments), and synthetic solutions with ionic compositions constructed to mimic the envelope of chemistries of UK groundwaters and UK
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Python or Julia and you will have experience using version control (GitHub) and high-performance computing clusters. Applications for this vacancy should be made online and you will need to upload a
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underlying pathways that control their interaction with other lung tissues in health and disease. In this role, you will be responsible for maintaining accurate documentation of experiments and determining
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for someone with understanding of public health research designs, in particular longitudinal surveys, randomised controlled trials and systematic reviews/meta-analyses; and skills in data cleaning and
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Analysts. You will be part of the second line reporting on key financial controls and other areas of financial compliance, and will work closely with both the University’s Finance Division and Assurance
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for their expression in plant colonizing bacteria and integrating them into the chromosomes of appropriate chassis. Control systems will be designed to restrict expression to target plants and ensure optimal expression
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preparation and submission of ethical applications to maintain the BHC research activities and develop and manage the recruitment of a cohort of control participants for the BHC research database. You will