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We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy
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-cell or spatial transcriptomic analysis is desirable. Experience with machine learning, LLMs, AI agents, multimodal data integration, or automated biological interpretation workflows is desirable but not
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university transcripts. Other qualifications(advantages) For the doctoral programme in question, the following are considered as other qualifications: Strong foundations in Machine learning and reinformement
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Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 23 Sep 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU
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. Unsupervised machine learning approaches will be used to identifiy key dimensions of circadian rhythm associated with dementia subtypes. This requires a very good level in statistics and R programing as
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paired with computational biology and machine learning to develop predictive AI models of how cells interpret and respond to the surrounding extracellular matrix. Required Qualifications: We are looking
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, approximation theory, high-dimensional probability theory, mathematical aspects of machine learning, compressed sensing Secondment: Univ.-Prof. Dr. Philipp Grohs (University of Vienna, Faculty of Mathematics
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testing Develop and evaluate models in machine learning and reinforcement learning Publish papers in top robotics and AI conferences and journals Collect and process data from human experiments and sensor
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 30-Jul-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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/communications, machine learning/vision, intelligent transportation systems, intelligent sensing/localization, or signal processing. In line with our Athena SWAN ambitions we especially encourage women to apply