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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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into the genomics of population structure and speciation in the Malawi cichlid genus Labeotropheus. This post will build on past work in which over 1000 samples of Labeotropheus from multiple species/populations have
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fast reactor (SFR) and gas-cooled fast reactor (GFR) designs closer to commercialisation. The projects bring together multiple research and industry partner organisations across Europe. The post-holder
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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
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seeking access to housing and labour markets. Second, the research will broaden beyond ethnicity to include multiple dimensions of exclusion, such as gender, age, and disability. While spatial analysis and
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mammalian cell culture, cell transfection, multiple omic approaches including processing of tissues for single cell RNA sequencing, drug discovery, western blotting, and immunohistochemistry among other
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running of experiments and laboratory operations. We are seeking someone who is highly organised, detail-oriented, and capable of managing multiple tasks, including stock maintenance, data recording, and
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hours (e.g., occasional evenings, early mornings or weekends) and assist multiple group members with their projects. Ability to work independently and as part of a team in a fast-paced environment. Strong