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output) is a requirement. A good understanding of biogeochemical cycles is an advantage. Experience in scientific programming (e.g., Matlab, Python) is an advantage. Applicants must be able to work
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Matlab or Python) are required. Experience in time series analysis is an advantage. Knowledge of physical oceanography at high latitudes is an advantage. Applicants must be able to work independently and
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of results_0.pdf to calculate your points for admission. Applicants are expected to have: Good programming skills, preferably in Python Ability to develop and implement computational methods Ability to work
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. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
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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 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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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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without a master’s degree have until June 30, 2026 to complete the final exam. Desired qualifications: Knowledge of computational methods and programming skills (e.g., R, Python) Language requirement: Good
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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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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