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to bridge preclinical findings with clinical applications. Through advanced computational approaches, machine learning, and AI-driven neuroinformatics, we extract meaningful patterns from omics, imaging
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. We welcome applications at both postdoc and doctoral levels. The projects run for 4 years, and the starting date for the positions is flexible. The duration of the doctoral positions is 4 years, but
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well as to prepare new devices and methods of quantum information processing. Our goal is to achieve JoFETs by utilizing hybrid devices based on silicon and high-quality superconducting silicides. Remarkably
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closely the development of quantum technology and modern superconducting device engineering. You will gain experience on high-frequency operation and measurement of superconducting quantum circuits, which
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position within a Research Infrastructure? No Offer Description Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects
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of Advanced Mathematics for Sensing, Imaging and Modelling (2024–2031). The group is also supported by a Research Council of Finland Fellowship under the project SPARSe (2025–2029), further strengthening its
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internationally through an open, transparent, and merit-based recruitment process based on external anonymous peer review. Successful applications will be selected based on academic excellence. For more information
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researchers are recruited internationally through an open, transparent, and merit-based recruitment process based on external anonymous peer review. Successful applications will be selected based on academic
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basis of adaptive plasticity and its evolution. The postdoc will take a leading role in, focusing on experimental evolution under novel and variable light environments, integrating multi-omics datasets
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of water engineering, including hydrological modelling, cold climate hydrology, hydrological process studies, groundwater research, water quality, water management, water supply, treatment, and protection