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and quality of publications in the project’s scientific field (30%); b) Participation in R&D projects in the competition scientific field (30%); c) Research experience in signal processing, machine
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opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation. Where to apply Website https://www.academictransfer.com/en
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Sciences, Faculty of Medicine, University of Oslo. PhD Candidate in advanced immune competent liver models Apply for this job See advertisement About the position The Hybrid Technology Hub CoE (https
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(NK) cells are central effectors of anti-tumor immunity in the liver, yet their function is strongly inhibited by TGFβ signaling during tumor progression. Recent discoveries suggest that Notch signaling
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emerged as an alternative to conventional ML models, promising a more efficient processing of temporal signals at the edge. This includes a wide range of signals, among which cortical activity for brain
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
and the means of communication/expression to be used in the selection process, under the terms of the aforementioned decree. Full announcement at: https://dozer.i3s.up.pt/fileupload/downloadfile
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10 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Engineering » Biomedical engineering Engineering » Control engineering Engineering » Other Medical sciences » Other
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statistical, machine learning, probabilistic modelling and signal processing techniques to longitudinal wearable sensor datasets. • Collaborating with clinicians, data scientists, engineers, researchers
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ultra-capable hardware that can measure different biomedical signals directly from the mouth? Then this project is for you! Delft University of Technology (TU Delft) invites applications for a PhD
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(at least 240 ECTS credits, of which 60 ECTS credits are at an advanced level). Experience in theoretical and experimental modeling as well as signal processing, preferably with applications in biomedical