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. Familiarity in using ABAQUS user materials (UMATs) and in programming (Python, Fortran and Matlab) would be an advantage. Excellent communication, time management, and team working skills is essential
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, or Python); Creating and managing very large datasets; Managing and mentoring research assistants (RAs); Machine learning skills; Writing papers for management and economics journals; Interest in reskilling
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experience in in vivo large-scale two-photon calcium imaging Programming skills, Matlab, (and/or Python) Ability to communicate complex information clearly, orally and in writing Experience in
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and oral communication skills Proficiency in data analysis tools (e.g., R, Stata, Python, NVivo, GIS) Experience with interdisciplinary or community-based research is a plus How to apply: Interested
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(quantitative and qualitative). They must also have experience working with large datasets and producing high-quality data visualizations and linking agronomic and genetic factors. Experience in Python/R would be
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appointment). Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis. Proficiency in R or Python; experience with deep learning, causal inference
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Science, Data Science, or a related field Experience in viticulture/agronomy and field trial work Strong data analysis skills using Python and R Proven ability to work with complex datasets and modelling
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me kā wheako • A Doctorate in Physics • Experience with experimental techniques in atomic, molecular, and optical physics • Experience in embedded programming and Python an advantage • A
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, urban stormwater, and/or water reuse technologies · Experience with computer programming (e.g., MATLAB, Python, or R) · Experience with statistical and process-based modeling of water resources systems
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or Python. How to apply Candidates should apply online, carefully answer all the application form questions, and attach a curriculum vitae (with details on education, research experiences, successes and the