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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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into University of Galway’s community. Living allowance (Stipend): €25,000 per annum [tax-exempt scholarship award]. Computer equipment and funding for travel (e.g. to conferences) as well as attendance
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
disciplines, and publish in leading journals Hold a full-time, paid position for 3 years with benefits and a structured PhD training program About the research group You will join the Biomimetics, Biocarriers
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be
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; company holidays between Christmas and New Year's Day #very good compatibility private and professional life; offers of mobile and flexible work #PhD Buddy Program #family-friendly company policy with
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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with researchers from different research fields and access to various scientific and technical expertise. All PhD students at the Faculty of Medicine attend the doctoral education program. More
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid