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questions in the areas of self-supervised/label-efficient learning and explainability of deep neural networks (XAI) are being developed, particularly for use in biomedical applications. Further information
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Join an ambitious, multidisciplinary project at the crossroads of interaction and urban design, where your research can shape the vision of open and accessible cities!. This position is part of
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design, where your research can shape the vision of open and accessible cities!. This position is part of the NWO-funded research project BEAT (Building Equitable Accessibility Together), which will start
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, continuing the work carried out by the team on the synthesis of labeled organic molecules (arenes, alkanes, ethers).[1-6] 1. Lassalle, S.; Jabbour, R.; Schiltz, P.; Berruyer, P.; Todorova, T. K.; Veyre, L
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(based on biomaterials and living cells), including their efficient deployment on embedded hardware, as well as the design and management of the supporting data pipeline. You will be part of
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University of Turku as an employee from our Come work with us! pages. The European Commission has awarded the University of Turku the right to use the HR Excellence in Research quality label . The label is a
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Research (NWO), at the Laboratory of Phytopathology of Wageningen University. In this project you will use the advanced TurboID-based, proximity-dependent labelling technique to identify novel resistance
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spectroscopies, XPS, XRD, BET, etc.). Utilize isotope labeling to elucidate reaction mechanisms. Collaborate with computational chemists to elucidate reaction mechanisms. Your postdoc work will be crucial
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predictive markers. The position includes exclusive access to a proprietary multi-center MS clinical-trial MRI dataset (10k+ patients; longitudinal multi-sequence MRI with manual lesion labels, treatment codes
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proposal preparation. You will also be part of a multidisciplinary research group of nano-diagnostics, involving in microlfuidic, nanotechnology, electrochemical biosensor and bio-nano interaction. What we