6 python-"Chalmers-University-of-Technology" Fellowship positions at University of British Columbia
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, Biostatistics, or related fields Extensive experience with spatiotemporal models Exceptional programming proficiency in languages such as R or Python. Previous experience analyzing ecological or similar data
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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author publication(s) in journals relevant in your field and/or shared as preprints Strong statistical foundation and expertise in R or python for data analysis Fluent in written and spoken English and
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statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance
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, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and/or Python for data analysis, modeling, and spatial analysis is also desirable Excellent written and verbal communication