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in data analysis and programming (R-applications or comparable programming languages) using large datasets Determination and commitment to scientific excellence Willingness and ability to drive to
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. The successful candidate will have Proven knowledge of soil science, fire ecology, and reed ecology Proven knowledge of data analysis and programming (R applications or comparable programming languages
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skills in data analysis and programming (R-applications or comparable programming languages) using large datasets Determination and commitment to scientific excellence Willingness and ability to drive
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successful candidate will have Proven knowledge of soil science, fire ecology, and reed ecology Proven knowledge of data analysis and programming (R applications or comparable programming languages
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atmospheric sciences (e.g., meteorology, climatology), or a related field; Strong programming skills; Data analysis and interpretation experience; A good team spirit and willingness to collaborate; Very good
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sciences (e.g., meteorology, climatology), or a related field; Strong programming skills; Data analysis and interpretation experience; A good team spirit and willingness to collaborate; Very good command
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numerical simulation algorithms? Then apply now to join our team of researchers in the Quantum Information and Quantum Many-Body Physics research group. As a university assistant (praedoc) on this 4-year
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Vienna Doctoral School in Cognition, Behavior, and Neuroscience - Doctoral Positions (AUTUMN CALL 20
independently and as part of a team Publications or basic experience in scientific work and research methods Basic skills in scientific programming Knowledge of academic processes and structures
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boundaries of science Strong English communication skills Additional skills that would be an advantage: Programming and data analysis experience Experience with working on high-performance computers
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offer relevant interfaces. This breadth provides a strong environment for a tenure-track position in Security, Society, and the Global East. https://www.soz.univie.ac.at/en/research/research-teams/team