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., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong
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the Norwegian educational system A solid background in machine learning, mathematics, linear algebra, and/or statistics is also required Solid knowledge and experience in Python programming Experience with
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the Norwegian educational system A solid background in machine learning, mathematics, linear algebra, and/or statistics is also required Solid knowledge and experience in Python programming is required Experience
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, Python). Knowledge of a Scandinavian language may be an advantage for teaching and supervision (if applicable). All candidates and projects will have to undergo a check versus national export, sanctions
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, Python, Julia, etc. Demonstrated experience working with spatial epidemiological, ecological, or environmental data, including hands-on use of GIS, spatial statistics, or other spatially relevant methods
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graphical and statistical tools (e.g. python, R). Willing to exchange with national and international project collaborators including potential research stays abroad. Very good co-operative skills, and the
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skills (e.g., R, Python) Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from
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data analysis using, e.g., Origin or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and written communication skills in English English requirements
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programming (e.g., Python) Documented proficiency in deep learning frameworks (e.g., PyTorch) Documented background in machine learning, mathematics, linear algebra, and statistics Fluent oral and written
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analysis Solid programming experience (e.g. Python, R, MATLAB, GAMS or similar) Interest in environmental risk, emissions analysis, and sustainability transitions. Ability to work both independently and