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/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script & NCO & CDO, etc.) and have demonstrable expertise in the analysis of big data, while the experience with interpretation of climate
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
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of Public Policy. The successful candidate(s) must demonstrate competence in quantitative research methods using STATA or R, as well as the ability to work independently with minimal supervision. Excellent
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in R. The post is fixed term for 2 years and full-time 35 hours per week, 1.0 FTE. The post is funded primarily through two UKRI grants, and one Bill and Melinda Gates grant. The salary will be
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Health Medicines R&D to facilitate the discovery and development of new drugs for invasive fungal diseases. Together, the MRC CMM, DDU and GSK GHM form a dynamic and multidisciplinary group that covers all
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with R, statistical and spatial analysis Excellent communication and teamwork skills Excellent organizational skills Experience with field work in post-disturbance forest conditions (desired) Experience
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 9 hours ago
discipline by the appointment start. Proficiency in both quantitative and qualitative data collection and research methods. Experience using quantitative (e.g., R, SPSS, or Stata) and qualitative analytic
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environment. Desirable Skills and Attributes: • Experience in start-up, spinout, or commercial R&D environments. • Prior involvement in writing or supporting successful funding bids
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addressed to jobs@lshtm.ac.uk . Please quote reference EPH-DPH-2025-08-R. Informal queries about the position can be directed to Chido Dziva Chikwari, SRHPP Programme Director (chido.dzivachikwari@lshtm.ac.uk
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score derivation and validation, and other relevant analyses. Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency