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with other members of the research group, including mutual assistance with research activities, and with external partners (R&D and/or industrial). The successful candidate should have: PhD degree
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participants, and collect data. The Research Fellow is responsible for data analysis by analyzing experimental data using appropriate statistical tools (e.g., SPSS, R) and interpret findings; prepare materials
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cognitive development / implementation science Teaching experience is preferred but not necessary Excellent statistical abilities with demonstrated proficiency in statistical language (e.g., Stata, R) Applied
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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studies and in using functional MRI and scripting-based languages (e.g. Matlab, R, Python). You will need to hold a PhD in Neuroscience, Economics, Psychology, Decision Sciences or related discipline
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research, large-scale population survey data preferred - Experience with SPSS required, comfortable using R, Mplus, SAS, or Stata considered an asset - Experience with community-engaged projects preferred
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related field. Extensive experience with R and Python, and prior experience in computational biology are required. The candidate must have excellent written and verbal communication skills, the ability
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., ROS/ROS2) and embedded systems. Research publication track record Experience: Demonstrated R&D track record in designing, testing, and refining aerial or bio-inspired platforms. We regret to inform
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, neutrino experiments, accelerator R&D and data intensive science via our Centre for Doctoral Training. About the role The UCL High Energy Physics Group has an immediate opening for an outstanding PhD
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methods to economic and environmental problems; Knowledge of STATA, R, Python and/or other relevant programming skills for undertaking applied analysis (e.g. machine learning) and handling large