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Field
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this ecosystem service. The student will map pedestrian networks using GIS and combine this with existing vegetation data. Field surveys will be conducted to validate the spatial data by measuring shade and
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good analytical and communication skills. Programming skills (MATLAB, Python, or LabVIEW) are a plus. We strongly encourage applications from candidates of all backgrounds. Enthusiasm and potential
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science”, led by Dr Susan Hegarty. The PhD position will be focused on developing the citizen science hydromorphology framework, and is open to candidates with strong GIS skills and an academic background
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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
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other relevant fields. You have programming experience in Python and/or R (e.g. scikit-learn, PyTorch, TensorFlow). You have knowledge of omics technologies, ideally mass spectrometry and chemometrics
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critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Knowledge of GIS and R and/or Python as a tool for data analysis
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analysis (R, Python) is an asset. Curiosity, creativity, rigor, willingness to learn, team spirit and collaborative capacity, excellent time and priority management. Fluency in English (written and spoken
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archaeological finds. Conducting geospatial analyses in GIS, including work with LiDAR data, aerial imagery, and other remote sensing data. Developing a webGIS platform to host field-collected data, legacy
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/Python).Further information can be found at:https://www.findaphd.com/phds/project/?p185925If you are interested in this opportunity and would like to know more about it, please contact me via email at