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Field
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Signal processing and data analytics, control systems Machine learning or computer vision Product development in multidisciplinary engineering teams. Responsibility teams Exposure to globally leading
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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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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
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and how disruption of these processes contributes to congenital heart defects. The project will combine state-of-the-art single-nucleus RNA sequencing, spatial gene expression analysis and molecular
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the development of highly predictive and human-relevant biomedical models that overcome major limitations of conventional animal models. The recruited candidate will focus on the development of an advanced human
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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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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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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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-reviewed publication record as first or co-first author, with manuscripts in journals such as Journal of Neural Engineering, Biomaterials, Brain Stimulation, or equivalent, proficiency in signal processing
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
bioactive peptides to reduce the stress effects in fish”, No. 21286, Operation No. MPr-2024-9-21286 (COMPETE2030-FEDER-02232500, LISBOA2030-FEDER-02232500, ALGARVE-FEDER-02232500), co-financed by