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health. She or he will be experienced with Python programming for bioinformatics software development, collaborative development on GitHub, and comfortable coordinating with a collaborative team of
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yourself further with scientific software packages (e.g., scripting languages, GIS software, MATLAB, Python, R, Stata, etc.). Enjoyment of scientific work. Ability to work in a team, have problem-solving
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, and tree physiology. Willingness to travel and undertake extended fieldwork for data collection. Driving license. Experience in ecological data analysis and statistical programming (R or Python
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experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English
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information and validating component lists. Matching BOMs with manufacturer and trade data from the Pharmaceutical Supply Atlas. Writing Python scripts for data extraction and preprocessing. Collaborating
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, or a related field Programming experience (e.g., Matlab, Python) Experience with at least one electrophysiological recording method or related experimental method listed above The ability to design and
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observation data, including drone-based data (RGB, LiDAR, hyperspectral). Strong skills in geospatial and statistical analysis (e.g., GIS, remote sensing software, R/Python). Experience in data preprocessing
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fields Good knowledge of programming languages such as R, Python, Matlab, Mathematica or equivalent Experience in data analysis and parameter inference methods is a plus Experience in teaching and interest
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microbiology/bioinformatics or nutrition (essential), experience with metagenomics (desirable), bioinformatics (experience using R or Python), multi-omics, and biochemistry. Communication capability in English
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., segmentation, denoising, feature extraction), including both classical techniques and AI-based approaches Proficiency in Python and experience with tools like napari, scikit-image, OpenCV, and Pytorch