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Field
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, energy and environmental planning, environmental assessment and climate-related topics. The department combines social science and technical perspectives and offers an international and collegial research
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stakeholder engagement, NCCR CLIM+ will develop storylines of plausible futures encompassing the physical and social dimensions of extreme climate outcomes. The storylines offer narratives that allow our
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from source to sea, contributing to the objectives of the EU Mission Restore our Ocean and Waters. The postholder will play a leading role in the social science, stakeholder engagement, and science
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, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. . Additional information For more
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A call for applications for a postdoctoral position in the humanities and social
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to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is
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will also have good opportunities to learn from and socialize with other postdoctoral fellows at the department. For more information about the department or division visit: https://www.slu.se/om-slu
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: Investigating how onboarding practices, mentoring, social networks, and management control mechanisms influence on integration and retention of software professionals in hybrid work environments. Studying how
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens