39 wireless-sensor-network Postdoctoral positions in Ireland-University-Ranking-2024 in Denmark
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architectures capable of real-time operation across heterogeneous physical platforms. The position will further explore how wireless networks, including 6G, WiFi, and satellite systems, support robust perception
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vivo imaging using calcium and neuropeptide sensor Conducting behavioural tests Conducting histology (inc. IHC and RNAscope) Participation in laboratory meeting and journal club, department retreats, and
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within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in close collaboration
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-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
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and multicultural research environment with high professionalism and close collaboration and networking activities A workplace characterized by equality and a good work-life balance, and an open
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identifying ecological and functional connections between environmental and host-associated microbiomes. The postdoctoral researcher will work closely with a PhD student and an international network
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environments. We frequently publish in the leading venues in Human-Computer Interaction and are supported through a strong network of collaborators. Interested applicants are encouraged to contact the project’s
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different fields of research - a work environment with close working relationships, networking and social activities - a workplace characterised by professionalism, equality and a healthy work-life balance
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critical discussion within and across different fields of research a work environment with close working relationships, networking and social activities a workplace characterised by professionalism, equality
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization