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Appreciation for interdisciplinarity and proactive drive to collaborate across fields Proficiency in English, good communication skill and social competence
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opportunity to join a leading vibrant and supportive research team with a mission to advance new knowledge and insights into the psychological, social, individual, educational and community-based processes
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microbial communities. In this role, you will develop hybrid species distribution models that combine climate and landscape data to predict how microbial taxa niches shift under changing land use and
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biomedical science and/or medicine. You will have led research projects in the past and have an interesting record of peer-reviewed publications. Proficiency in a high-level programming language is required as
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and PhD students, and communicate your research at national or international conferences. What we are looking for: The successful applicant will have a keen enthusiasm for research in fluid mechanics
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Learning Lab, along with the Alan Turing Institute, the MRC Biostatistics Unit, and the Stan community. The position is based in Central Cambridge, UK. The project synthesises and advances insights from
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The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping
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also be opportunities in the wider community of researchers at UCL to develop new networks. This is a fixed-term role for 6 months in the first instance, with the possibility of extension (3 years in
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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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communication skills and excellent written English skills Evidence of ability to compile and analyse quantitative and qualitative data, prepare reports and present results to summarise main research findings and