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in Python (R and Matlab); • Familiarity with large-scale data processing and cloud computing (Google Earth Engine, BDC, AWS). Application: Send a cover letter (1 page), updated CV, and two references
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funded by a EU programme Reference Number AE2025-0603 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais
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(e.g., knowledge of principles and procedures related to field and area) Demonstrated proficiency in coding, robotics, and engineering design (e.g., Python, MATLAB, Arduino, C++ or similar). Other
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matters of scientific urgency. Where to apply Website https://www.academictransfer.com/en/jobs/357678/phd-position-in-project-mechani… Requirements Specific Requirements We look for an enthusiastic
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instructional content is preferred. Knowledge of Python and/or statistical software (e.g., R, Stata, SPSS) preferred. Coursework in research methods, statistics, or related fields preferred. To Apply: Apply
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programming skills in R and Python. Experience with content coding of verbal descriptions Good communication and teamwork skills. Interest in autobiographical memory and moral psychology. Some experience with
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 days ago
industrial decarbonisation and/or East Asia will be highly regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter
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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite
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technical troubleshooting ability/knowledge. 3. Programming ability, particularly statistical programming (R, Python). Email to a Friend https://unmc.peopleadmin.com/postings/94874
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field. The ability to do serious data munging and data wrangling is important. Demonstrated experience with SQL plus knowledge of Python. Using these tools to merge large datasets, locate and clean messy