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. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous. The ability to work
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laboratory of Asst Prof SHEN Yijie at the School of Physical and Mathematical Sciences. We are seeking a Research Fellow to contribute to a project focused on Photonic Skyrmions: Particle Topologies of Light
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and sound judgment in data analysis and interpretation Proficiency in R or Python for statistical analysis and modelling Experience leading research teams or managing research projects (for Senior
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computing with Python and R; (d) experience in high-performance and cloud computing for data processing; (e) the ability to work independently and collaboratively with an interdisciplinary research team
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large-scale distributed computing systems (e.g. Edge, IoT), evidenced by involvement in several industry projects. Technical Experience: Exposure to Go, Python, Java or equivalent. Experience with
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robotics, localization, mapping, and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability to conduct independent research and contribute
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-supervised by Dr Mike Cassidy and Prof Roy Harrison in the University of Birmingham, UK. You are also expected to work closely and collegially with teams in Edinburgh (Dr Yu Wang, Dr Andrew Schurer and Prof
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Job Purpose To make a contribution to a project working with Prof Lee Cronin. (www.croninlab.com). The researcher(s) will be working in the area broad area of chemical robotics and automated
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The Research Fellow will be supervised by Prof. Christopher Quince (Earlham Institute/Norwich UK), Prof. Iain Chapple (Birmingham), Prof. Moritz Kebschull and Prof. Tariq Iqbal (Birmingham). Their role will
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qualitative and quantitative data analysis. Proficiency in programming (e.g., JavaScript, Python, React for iOS/Android) is important. Additional strengths would include experience with physiological sensing