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Field
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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consists of a diverse set of people from different nationalities, backgrounds, and fields. As a PhD student working with us, you receive the benefits of support in career development, networking
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such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups
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radiation detectors (leader: Prof. Masayuki Wada); Electronics, seismic and environmental sensors (leader: Dr. Mariusz Suchenek). Astrocent is formally an administrative division of Nicolaus Copernicus
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well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive
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Supervisor: Tenured Associate Professor Serkan Turkmen, Estonian Maritime Academy: Estonian Maritime Academy: Green Maritime Technology Research Group Proposed Thesis: Towards net zero in Maritime Industry
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Applications are invited for an employed Doctoral Candidate to be funded by the Marie-Skłodowska-Curie Learning Network for Decentralized critical Infrastructure Asset Monitoring and coNDition
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: Collaborative Localization and Sensor Integration This PhD position will focus on developing and integrating methods for collaborative localization and sensor fusion in the ABBA USV system. The goal is to enable
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agriculture? The GreenFieldData project offers an outstanding opportunity to pursue a PhD within a high-calibre international and interdisciplinary network, funded under the prestigious Marie Skłodowska-Curie
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the project partners throughout the project and validated in offshore conditions. PhD Focus Area: Collaborative Localization and Sensor Integration This PhD position will focus on developing and integrating