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5 Sep 2026 Job Information Organisation/Company Luleå University of Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 30 Sep 2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU...
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Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, the public sector and leading...
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; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma computing. The successful candidate will work with Dr. Dan Stowell and his research team. The position is set in
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machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
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for cardiometabolic disease with associated neurodegenerative conditions. It aims to develop novel deep learning algorithms, audio and vision transformers, and hybrid attention mechanisms, to detect
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of storing, processing, and retrieving information in acoustic waves that complement conventional quantum technologies. For more information about the research/project, please see: New Frontiers of Sound
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for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI
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, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI, and the Aalto
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an interdisciplinary research team developing an AI-enabled framework that translates high-level mission objectives into deployable communications signal-processing (DSP) solutions. The role combines
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should have sound knowledge of quantitative research methods and a good command of written English. Prior experience and keen interest in research areas such as palliative care, end-of-life care, and