372 evolution "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" Fellowship research jobs in Norway
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- University of Oslo
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to theoretical development and empirical knowledge both at TIK and in the greater community of innovation scholars. Much of the ongoing work in the innovation group is based on externally funded projects
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theory, sequential inference, computational complexity theory. Language requirement: English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https
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position The position is suitable for candidates who seek to conduct original work that contributes to theoretical development and empirical knowledge both at TIK and in the greater community of innovation
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whether technological development is always “progress”. While seemingly a critical approach, it also clearly allow for the appreciation of how technology is conducive to reaching our fundamental goals
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approximately 75 employees, of whom 35 are PhD candidates and postdocs. The department teaches and conducts research in Gender studies and Science and technology studies (STS). Teaching is provided at all levels
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We seek candidates with the potential to contribute to the development of human geography as a discipline at the department. The fellow is expected to pursue independent research, as outlined in
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enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no
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development and evidence-to-practice initiatives. The fellow will work within an international network of leading researchers, clinicians, journals, and policy organisations and will have opportunities for high
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across a range of stellar masses and ages, with direct applicability to studies of planetary atmospheric evolution. Starting from the most active pre-main-sequence end of the cool star sequence, where
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the Team, and from those outcomes, run dynamical evolution models (N-body) to investigate the occurrences of subsequent collisions, using a surrogate model for giant impacts trained on SPH simulations