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of wireless activation and communication systems that enable safe, efficient, and selective control of the implantable neurobots. This includes developing wireless energy transfer technologies, external
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controlling gene expression are essential for developing a mature synthetic biology platform. You should be capable of working under your own initiative and within a research team, so excellent communication
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Condensed Matter Physics group. The position is associated with a new two-year Grant on "Advanced materials for next-generation spintronics: The deterministic control of altermagnets" funded by UK Research
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associated with a new two-year Grant on "Advanced materials for next-generation spintronics: The deterministic control of altermagnets" funded by UK Research and Innovation (UKRI). The research builds upon our
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associated with a new two-year Grant on "Advanced materials for next-generation spintronics: The deterministic control of altermagnets" funded by UK Research and Innovation (UKRI). The research builds upon our
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the application of advanced computational techniques spanning a range of temporal and spatial scales to address some important and fundamental questions regarding the nature of how trafficking is controlled within
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management and version control (Git/GitHub, workflow automation, documentation) Capacity to work independently and as a multi-disciplined team Excellent verbal and written communication skills (e.g
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data sets Strong understanding of statistical modelling, data normalisation and machine learning methods applied to biological datasets Experience with data management and version control (Git/GitHub
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of how trafficking is controlled within cells. This full-time fixed-term post is funded by the Wellcome Trust up to 31st March 2026. The actual starting salary offered will be based on qualifications and
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codebase hosting on open-platforms is required Demonstrated track record of experience with RNA sequencing data Considerable experience on operating complex command line tools and pipelines/workflows