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, showing potential to treat various cancers. The aim of this project is to use a multidisciplinary approach involving (bio)chemistry, computer aided drug design, cell biology and genetics to develop more
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required, along with an eagerness to learn more detailed identification. Any specialist knowledge of ground-dwelling invertebrate taxa is a bonus. Support: The student will be based in the Ecology and
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systems enabled by advanced, compact and highly efficient electrical machines, and power electronic conversion. Alignment with REWIRE will provide the student additional access to further development
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, where opportunities for collaboration and learning abound. About the role The role involves undertaking high quality research as part of an exciting new internationally funded research project
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of measles evolution and naming systems (nomenclature) to support public health identification of measles outbreaks/importation and ultimately, elimination. In this project you will learn to perform genomic
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to learn unfamiliar tools as needed (e.g. GitHub, APIs, new libraries). Familiarity with econometric techniques, especially panel data methods. Clear, concise written and verbal communication skills. Ability
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operations such as machining. This is driven by the need to complete repair tasks without disassembly of industrial installations. We developed a series of continuum robots in both short and long versions
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the environment and generate physically feasible motion references. Reinforcement learning allows robots to learn control strategies. This dynamic framework surpasses traditional sense-plan-act pipelines
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-world impact of their research Be comfortable using and learning about quantitative data analysis *applicants with less experience of more advanced quantitative methods, such as computational modelling
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/antanaviciute-group-computational-biology-and-tissue-immunology We offer • World-leading infrastructure and facilities • Opportunity to learn cutting edge molecular techniques