8 python-"Max-Planck-Institutes" Fellowship positions at University of British Columbia
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of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas: image processing, machine learning, and patient records. Track
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with transcriptomic analysis tools (e.g., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly desirable. Proficient in Python, R, and ML libraries
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/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other relevant tools) Excellent written and oral communication skills Ability to work both
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expertise is preferred but for the right candidate can be taught Experience with quantitative and/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other
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be taught Experience with quantitative and/or qualitative research methods Strong statistical and programming skills (e.g., R, Python, SPSS, or other relevant tools) Excellent written and oral
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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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data science, machine learning preferred. - Strong programming skills in R and/or Python required. We invite applications from qualified candidates who share our commitment to employment equity and
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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