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Field
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., writing, public speaking, networking, critical evaluation of scientific documents, etc. Presents scientific work both inside and outside the University. Assists with grant preparation and reporting
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verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile Internet, Earth Observation, and
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to the activities of the SIR-V2G project wich primary objective is to address the challenges arising from the large-scale integration of electric vehicles (EVs) into distribution networks by developing smart
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architectures to solve data-driven sensing and control problems related to turbulent atmospheric flows. The work will center around investigation of reinforcement learning and convolutional neural networks
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collaboration. FTMC provides a strong scientific base, international research networks, and the flexibility for doctoral students to develop independent, high-impact research. Topic: Analysis of microplastic
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simulation methods to target critical performance parameters for satellite quantum key distribution and imaging LiDAR applications. You will develop new process methodologies and fabricate SPADs in the state
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) Distributed Systems and Networking. These key research areas have a special thematic focus on (a) Health Informatics and (b) Security and Privacy-aware Computing related applications. The initial appointment
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) Distributed Systems and Networking. These key research areas have a special thematic focus on (a) Health Informatics and (b) Security and Privacy-aware Computing related applications. The initial appointment
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). The position is subject to financing by the University of Bergen. About the project/work tasks Geometric Deep Learning (GDL) is a branch of machine learning that develops neural network models by explicitly
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electric vehicles using AI technology. The role aims to advance thermal performance through innovative energy distribution and waste heat recovery strategies. The Postdoctoral Research Fellow will undertake