474 evolution "https:" "https:" "https:" "https:" "https:" "Grenoble INP Institute of Engineering" research jobs in Norway
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offer Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge
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candidate is expected to start no later than 1 September 2026. The successful candidate will join a multi-disciplinary network, whose interconnected research will contribute to the candidate’s development
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or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral
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26th April 2026 Languages English English English Do you want to contribute to the development of knowledge, insight and solutions that are relevant to society and working life today and in
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rich contextual measures of psychosocial environments, SISU and PRISM characterize families and schools optimal for psychological development in a global crisis. Our explanatory variables of interest
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expected to start no later than 1 September 2026. The successful candidate will join a multi-disciplinary network, whose interconnected research will contribute to the candidate’s development. The candidate
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within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of
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with Cluster 5 of AI LEARN, Work Package 5 Capacity Building for Empowerment, which focuses on identifying learning and competence development needs among students, teachers, school leaders, and other
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career path, all postdoctoral research fellows submit a professional development plan , within one month after commencement of the postdoctoral period. Responsibilities/ You will work with / Your main
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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Prior experience with one or more causal inference methods is