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analysis workflows (Python and/or Julia-based; HPC-oriented handling of large datasets). Depending on competence: contributing to research software development supporting simulations and/or data workflows
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, e.g., the Journal of Fluid Mechanics, Combustion and Flame, Proceedings of the Combustion Institute. Proficient in MATLAB and/or Python. Strong written and oral English language skills. Strong written
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. Appointment is dependent on the public defense of the doctoral thesis being approved. Experience with analysis of time-series of neural data Proficiency in programming custom analysis pipelines (e.g. Python
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degree has been awarded. A good understanding of ocean and/or climate dynamics is a requirement. Proficiency in scientific programming (e.g., MATLAB or Python) is a requirement. Experience in statistical
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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programming and data analysis in the statistical software environment R, Python, or other relevant programming languages, as evidenced in relevant courses or publication(s) The following qualifications will
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high-performance computing clusters is needed and knowledge of relevant programming languages (Python, Perl, R) is considered an advantage. A in-depth understanding of biochemistry, genomics experiments
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to NeuroPathways Familiarity with quasi-experimental methods for causal inference Familiarity with administrative register data or other types of big data Familiarity with R, Stata, Python, or other relevant
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programming in Python. Excellent oral and written communication skills in English. Personal suitability and motivation for the position. The doctoral dissertation must be submitted for evaluation by
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(e.g., carbon, nutrients, oxygen) or transient tracers such as CFC-12 and SF6, is required. Proficiency in MATLAB or Python is required. Applicants must be able to take part in a nearly two-month-long