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development fund of the department, IT Academy and a recently started project “Smarter use of data via machine learning” and has close ties to the Estonian Centre of Excellence in Artificial Intelligence (EXAI
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research staff, PhD students, or postdocs Providing guidance, training, and technical support to others in the research team Ensuring compliance with research ethics, safety regulations, and institutional
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to develop and implement machine learning/deep learning tools for personalized medicine in cancer by exploiting electronic medical records and medical images in relation to cancer diagnosis and the
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pediatric AML Development of advanced computer vision models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug
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between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering
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) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
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. https://hr.uw.edu/labor/academic-and-student-unions/uaw-postdocs/uaw-postdoc-contract Position Responsibilities: • Conduct original research in paleobotany using phytoliths, including fieldwork in Panama
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ESSENCE: Efficient Self-Supervised Machine Learning for Adaptive Wireless Communication Systems This project investigates self-supervised learning (SSL) for wireless communication systems to improve
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analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
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stimulation devices in collaboration with engineering and clinical teams. Data Collection & Analysis Acquire, process, and analyze high-dimensional electrophysiology and behavioral datasets. Use tools such as