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to establish a novel wireless plant-based communication system, using plants as natural antennas, uniquely powered by the integration of plant-microbial electricity generation seamlessly blended
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Responsibilities Conduct foundational research in adversarial machine learning, exploring novel attack vectors and defense mechanisms for AI agents and large language models. Develop formal verification methods and
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Geophysics – OGS announces a public competition, based on qualifications and examinations, for the recruitment with a full-time permanent contract of one (1) staff member in the profile of Researcher – Level
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Postdocs in Generative Machine Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures
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accelerators Hardware–software co-design for AI and transformer-based models. Responsibilities Conduct cutting-edge research in parallel computing and AI accelerators Develop and lead externally funded projects
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Model. Adv. Sci. 2025, 2500400. https://doi.org/10.1002/advs.202500400 Research Area Applications are invited from outstanding candidates with expertise in molecular biology, biotechnology, and/or
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evaluated based on the following criteria (maximum 30 points): Relevance of the PhD thesis to the following topics: Horticulture or Pharmaceutical Sciences (maximum 5 points attributed according
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cancer and developing innovative biomarkers for early detection and patient stratification. ⸻ Required Qualifications • PhD in a relevant field (e.g., Molecular Biology, Genetics, Bioinformatics
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Mediterranean culture in the heart of one of Europe’s most exciting mountain regions. Tasks: Development of software to simplify and streamline access to public, remote and cloud-based MS data, including
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. Massimo De Vittorio and Prof. Gianni Ciofani. You will share with the team the main responsibility of developing of investigating fiber-optic-based methodology to optically irradiate novel chemical