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strong track record in problem solving and scientific publications. The candidate will be expected to conceive of, plan, and implement the scientific research, and to report relevant results in
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' datasets - genomics transcriptomics, and proteomics Proficiency in R, Python, and other programming languages Expertise in Linux, Git, Docker, and other high-performance computing environments Excellent
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related to the sea, land, and atmosphere. The fields of study include Arctic biology, geophysics, geology, technology and safety. All teaching is conducted in English, and approximately half of the staff
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Steven Ludeke to discuss their expected degree timeline. Highly proficient in at least one statistical programming language (e.g., R, Stata, SAS, Python). Candidates that can show an aptitude for learning
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Associate or by others in the research group, by collaborators in other groups or from publicly available datasets. The project may also involve use and development of software programs for analysis of multi
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• PhD, DDS, DVM, JD, MD or equivalent is required. • Demonstrated motivation and initiative in completing tasks and contributing to team goals • Fluent in English with strong verbal and written
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of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference contributions and peer-reviewed journal articles
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Good command of Matlab or a similar programming language Very good command of the English language in spoken and written form Research experience as evidenced by conference contributions and peer
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partners the candidate wishes to bring onboard 4. Evidence of English proficiency (minimum CEFR B22, also checked at interview) 5. A draft Individual Career Development Plan (ICDP) 6. Two reference letters 7
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for decarbonization strategies o Fluency in task automation, data cleaning and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and exceptional attention