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UNIVERSIDADE DE SANTIAGO DE COMPOSTELA | Mesa de Santiago, Veracruz de Ignacio de la Llave | Mexico | 6 days ago
Infrastructure? No Offer Description FAroGels – Food-Grade Aerogels for Sustainable Food Systems is a Marie Skłodowska-Curie Actions Doctoral Network funded by the European Union under Horizon Europe. The
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network can be found here: https://redileep.eu Your Responsibilities Design and conduct laboratory microcosm experiments to investigate how different environmental drivers influence species responses
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and adaptive cybersecurity solutions for shared social and economic systems. The successful researcher will apply expertise in programmable networking, network traffic analysis, and machine-learning
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, the college collaborates across the university, the Northeastern network, and partners around the globe. Responsibilities: The School of Public Policy and Urban Affairs in the College of Social
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Your Job You will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 Ph.D. students at 7 universities, one research center and
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, working with social network analysis tools, and examining cyber campaigns conducted on social media. The research experience must be demonstrated through published research articles in leading journals
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Doctoral researcher in Food Materials Science: Aerogels for Oral Lubrication - part of a MSCA Doctoral Network on FAroGels - Food-Grade Aerogels for Sustainable Food Systems Department of Food and
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developmental biology Optional previous experience with epigenomic data analysis or gene regulatory network inference Ability to work independently and collaboratively in a multidisciplinary
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work in the “Doctoral Network Democratic Institutions and Violence Network in Europe (DIViNE)” project, funded by the HORIZON MSCA action. The candidate will be supervised by Dr. Abbey Steele
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
, among others, the latest network analysis tools. You will use relationships of community structure with environmental drivers to derive parametrisations of the sea-ice ocean model FESOM, which will