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- Fondazione Bruno Kessler
- Istituto Italiano di Tecnologia
- Consiglio Nazionale delle Ricerche-Istituto di Calcolo e Reti ad Alte Prestazioni
- European Commission - Joint Research Centre
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- Università degli Studi di Roma Tor Vergata - Dipartimento di Biomedicina e Prevenzione
- Vilnius University Faculty of Medicine
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research and implementation of model-merging techniques for deep
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of computational pipelines and reproducible workflows for the analysis of biological and biomedical data using deep learning techniques; • promotion of technology transfer and support for the University's research
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Consiglio Nazionale delle Ricerche-Istituto di Calcolo e Reti ad Alte Prestazioni | Italy | 12 days ago
techniques; Data preprocessing, feature selection, classification, and clustering; Programming languages and libraries for developing machine learning and deep learning applications; LanguagesENGLISHLevelGood
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, computer vision, robotics, biomedical engineering, computer science, biomechanics, neuroscience, signal processing, or a closely related discipline. Strong expertise in machine learning and deep learning
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archaeological signatures (e.g., micro-relief, edge structures, etc.) – Design and implementation of new deep learning architectures (both supervised and unsupervised/few-shot, 2D and 3D) for an efficient and
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Università degli Studi di Roma Tor Vergata - Dipartimento di Biomedicina e Prevenzione | Italy | 2 months ago
phenotypes. The post-doc will implement machine-learining and deep-learning fusion piplelines to combine high-dimensional imaging features and-omics data, building interpretable ipredictive models. Activities
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. – knowledge of computer vision; knowledge of deep learning architectures; – Knowledge of C++, Python, Matlab; – Analog/digital circuits IC design capability; – Testing of electronic devices and systems; FPGA
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experimentation of novel deep learning models, both unimodal and multimodal, with the aim of understanding and predicting processes and dynamics in complex fields such as artificial vision and signal processing
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be invited for an online interview with the selection committee. Join us in Vilnius – one of the top-rated cities for work-life balance globally! Learn more about the quality of life and opportunities
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learning and deep learning techniques to the biological sciences. The ideal candidate will have expertise in artificial intelligence, with a specific focus on deep learning applications in structural biology