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applications (experience in R and/or Python, as well as cloud computing) A strong background in statistics and biology Experience managing and curating large datasets Excellent oral and written
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Proficiency in R and/or Python for statistical analysis and pipeline development Familiarity with causal inference or genetic epidemiology methods (e.g., Mendelian randomization, mediation analysis
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paleontology, including field collecting and museum accessioning procedures Proficiency in ArcGIS, QGIS, Python and/or R geospatial packages, or similar geospatial software Familiarity with 3D software and
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, Watershed Hydrology, Earth Science, or a related field. Experience with hydrologic and/or hydraulic modeling. Experience with one or more scripting languages (Python, R, or similar) to create model
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 11 hours ago
advantageous: Requesting, processing, and analysing passive-seismic data Programming skills (such as with Python or MATLAB) for data computation and visualisation Methods for imaging or probing the
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mitigating air pollution and urban overheating, with advanced statistical data analysis skills (e.g., R, Python, MATLAB) required. The role calls for a self-driven, independent individual who can log, clean
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discipline. ● Experience: ○ Expertise in computational science ○ Proficiency in Python ○ Experience with high-performance computing (HPC), with GPUs preferred ● Related Skills and Other Requirements
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., MATLAB, Python, R). Prior experience in in-vivo neuroscience experiments is a plus. Hiring Institution: LKC
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, with experience working with large-scale firm-level or related datasets. Proficiency in Python and/or Stata for data management, statistical analysis, and empirical research. Experience in merging
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brain mechanisms. Applicants must have experience working with a high-level programming language such as MATLAB, Python, and/or R. Good written and oral proficiency in English. If the person appointed