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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in developing computational Social Network Analysis (SNA) methods
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and predict the sensitivity and resilience of Swedish conifer forests to interacting soil fertility and droughts. Specifically, we want to detect whether long-term fertilization practices have modified
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Skłodowska-Curie (MSCA) funded European doctoral network that unites leading institutions to train a new generation of researchers in health economics, causal inference, and the analysis of large-scale
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Skłodowska-Curie (MSCA) funded European doctoral network that unites leading institutions to train a new generation of researchers in health economics, causal inference, and the analysis of large-scale
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want to detect whether long-term fertilization practices have modified the drought-sensitivity of trees. We will analyze long-term growth trends and tree physiological indicators to detect acclimation
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collaborations with different international research networks. Additional qualifications Experience in programming languages (Python, C, Fortran, etc.) and with numerical codes for fluid dynamics is a merit
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enabling a wide range of robotic applications. As a PhD student, you will receive academic and pedagogical training and become part of a dynamic, international research community and network. This project
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About the EU MCSA DN project StraDiVarious StraDiVarious (Strains, Diagnostics and Variants) (www.stradivarious.eu) is a European-wide intersectoral doctoral training network focused on emerging
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/find-staff/olarolfson Project website: www.shield-dn.eu/en This PhD position is part of the European Doctoral Network “SHIELD” (Strategies for Healing Implant-associated infections and Enhancing
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description This project is part of the EU-funded “Print4Life” Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader at Uppsala University. This network has 8 doctoral candidate host