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will be eligible for full benefits. Lab: https://abc.berkeley.edu/ Contract: https://uaw5810.org/ar-contract-2022/ Qualifications Basic qualifications (required at time of application) PhD (or equivalent
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
realism of model results using theoretical understanding, physical models, and observations Use the model to investigate the behaviour of Arctic clouds in current and future climates Your Profile PhD in
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discovered Cepheids in double-lined spectroscopic binary (SB2) systems in the Milky Way and the Magellanic Clouds. This work aims to significantly increase the sample size of binary Cepheids with measured
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form of deception in cyberspace. The School of Computing includes over 70 full-time faculty and more than 3,600 undergraduate and graduate students. We offer a PhD program, 17 master's degrees, and 10
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QUALIFICATIONS PhD in Ecology, Geography, Environmental Science, or a closely related discipline. Demonstrated specialization in remote sensing and spatio-temporal environmental data analysis. Strong programming
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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Researcher (R1) Positions PhD Positions Application Deadline 2 Mar 2026 - 00:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
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Scotland Innovation Hub to provide a secure cloud computing platform for Federated Learning and Machine Learning model development, and clinical researchers from NHS Greater Glasgow and Clyde. The successful