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with analysis of time-series of neural data Proficiency in programming custom analysis pipelines (e.g. Python, MatLab or similar) Excellent written and oral communication skills in English. In addition
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, and diagnostics relevant to helioseismic inference. Development and maintenance of robust, reproducible analysis workflows (Python and/or Julia-based; HPC-oriented handling of large datasets). Depending
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communication skills in English Proficiency in programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant courses
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dynamics. Excellent knowledge of programming languages such as R, Python, Julia, etc. Demonstrated experience working with spatial epidemiological, ecological, or environmental data, including hands-on use
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biology techniques (cloning, transformation) Documented applied skills in plant cell imaging Documented training in Python and/or R Foreign completed degree (M.Sc.-level) corresponding to a minimum of four
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and methodological capacities in statistics Documented expertise in computational methods and experience with R or Python programming Experience in Bayesian statistics and modern Bayesian computing
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, and/or statistics is also required Solid knowledge and experience in Python programming Experience with frameworks like TensorFlow or PyTorch is essential Fluent oral and written communication skills in
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characterization is a plus Experience with biomedical applications is positively evaluated Experience with data analysis using, e.g., Origin or MatLab Programming skills, e.g. proficient with Labview or Python
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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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environment. Experience in analyzing and working with climate or Earth System models. Technical skills in programming as well as in graphical and statistical tools (e.g. python, R). Willing to exchange with