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to one or more of the following areas: Renewable energy systems and photovoltaic technologies Smart grids and power systems Battery energy storage systems Artificial intelligence and machine learning
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access for all to a low-carbon electricity grid unlocked by Artificial Intelligence”. The project aims at developing innovative methods to allow more equitable access to electricity grid capacity for all
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and evolving threats facing network security and intelligence organizations. Apply project planning and management methodologies to support program execution. Engage international stakeholders with
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., statistical modelling, Artificial Intelligence/Machine Learning) Experience in computational biology and bioinformatic analysis Proven ability to write detailed, technically accurate reports on complex research
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author; - PC skills: MS Office (Word, Excel, PowerPoint), scientific databases, and software for primer design and sequence analysis (e.g., Primer3, NCBI Primer-BLAST, MethPrimer, SnapGene, or equivalent
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of HW/SW design for AI-driven Resource Constrained Intelligent Systems (AIRCIS), including IoT devices, robotics, and drones. We are interested in candidates who can work on interdisciplinary teams
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of HW/SW design for AI-driven Resource Constrained Intelligent Systems (AIRCIS), including IoT devices, robotics, and drones. We are interested in candidates who can work on interdisciplinary teams
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data Analytics and Management; (iii) Computer Vision and Pattern Recognition; and (iv
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research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv
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the research center Sensible Things that Communicate (www.miun.se/stc ) and deals with sensor-based systems and services for use within the Internet of Things and artificial intelligence. Job description We