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Field
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command of English, good communication and team working skills Qualifications below are seen as merits Good Python programming skills, working knowledge of collaborative software development tools Hands
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environmental sampling, field studies, pathogen detection, or bioinformatic analysis is meritorious. Experience in handling large datasets or geographical data (e.g., GPS/GIS) is also an advantage. We are seeking
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Observation data analysis. You are fluent in Python and have solid experience with relevant machine learning and geospatial libraries such as PyTorch, TensorFlow, GDAL, rasterio, and zarr. You have experience
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Computational Science or Data Science Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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*. You will need strong written and verbal communication skills in English, including a track record of academic writing Relevant experience with data analysis and programming (e.g. python or R) and
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English, including a track record of academic writing Relevant experience with data analysis and programming (e.g. python or R) and empirical data analysis (including statistics) Strong motivation and
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, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python
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cleanroom processing of nanodevices Programming skills for electrical measurement scripts and data analysis, for example with Python or Matlab. Consideration will also be given to how the applicant’s
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(e.g., in MATLAB or Python) Strong publication record in leading Q1 journals and top-tier international conferences Excellent communication and presentation skills in English Independent, curious, and
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or Python. Experience of and interest in collaboration with international partner organisations and professional representation at national and international events. Interest in method development and