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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from
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and Signal Analysis (CMVS) at the Faculty of Information Technology and Electrical Engineering, University of Oulu. CMVS is a creative, open, and internationally attractive research unit, combining the
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rearrange the membranes to create protective replication vesicles. The host proteins important for virus replication are attractive new targets for antiviral drugs. The starting point of the project is a
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replication are attractive new targets for antiviral drugs. The starting point of the project is a large proteomics dataset, so we are working with several novel host cell targets. The work could include
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integrated circuit design. Possible focus areas can include, but are not limited to, machine learning (ML), Artificial Intelligence (AI), neuromorphic computing, and digital signal processing hardware
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Business Finland. The project aims to develop energy-efficient neuromorphic computing hardware based on GCMO memristors, with applications in signal processing, AI, and autonomous systems. The positions
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-scale simulation, signal and image processing, time-series analysis, optimization and control, computational inverse problems, and artificial intelligence methodologies. The field of teaching is
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/2009), appointees to teaching and research positions at the University must be proficient in the language in which they provide instruction, i.e., English for this position. Good co-operation and
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Project tasks and objectives: Industry objectives: To investigate sensor configurations and machine learning methods for sensor fusion-based machine perception for real-time operation, including
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field effect transistor devices on flexible substrates. The specific task of the position is to design and fabricate an implantable device for bidirectional signal transmission (measurement and