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, sensemaking, narrative development, stakeholder needs analysis). • Familiarity with geospatial tools (e.g., QGIS/ArcGIS/GeoPandas) and/or data analysis in Python.
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, or portable robotic platforms. Experience in programming and configuring control systems for automation and robotics, including relevant programming languages such as PLC, Python, C/C++, MATLAB, ROS
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collaboratively in an international research environment Preferred qualifications: Proficiency with a relevant data-analysis environment, preferably Python or R, and SPSS Background in comparative higher education
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, test, and maintain analysis code and reproducible data pipelines in Python and/or R, including high-performance and cluster-computing workflows (e.g., Midway-3). Data curation - Clean, integrate
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Python scripts, calibrate specialised instrumentation and solve technical challenges that directly support researchers conducting experiments in a unique outdoor laboratory. Working alongside researchers
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. Preferred Qualifications Experience in research project management and coordination. Proficiency in data management and analysis software (e.g., NVivo, SPSS, R, Python, or equivalent). Responsibilities
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Hydrology, Computing, Earth science or a related field Proficiency in remote sensing, geographic information systems, and statistics Proficiency in programming with Python, R, and Google Earth Engine Minimum
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experience is strongly preferred. Strong command of SQL, Python/PySpark, and DAX for querying, modeling, and validating complex datasets. Demonstrated experience designing and delivering data analytics or BI
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in dynamic environments. The role will involve the design and analysis of control algorithms based on mathematical and optimisation tools, their implementation in Python, validation through simulations
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-resolution microscopy such as STORM, and longitudinal live-cell imaging. Transcriptomic analysis, including bulk RNA sequencing or single-cell RNA sequencing. Computational analysis in R or Python