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a powerful way for assessing forest stress and disturbances over large areas and to monitor forest vitality over time. This research uses remote sensing technologies together with physical models and
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apply a fast and efficient forest trait mapping and monitoring method based on the Invertible Forest Reflectance Model. A machine learning / deep learning framework will be explored and developed
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-pathogen interactions using in vitro model systems mimicking chronic diseases. The project foresees ample collaborative opportunities with research groups in the MICRO-PATH consortium, spanning
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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Josip Juraj Strossmayer University in Osijek School of Applied Mathematics and Informatics | Croatia | 3 days ago
field of mathematics, for work on the project Croatian Science Foundation „Scaling in stochastic models“ (Project ID: DOK-2025-02-9144), according to the tender Croatian Science Foundation „Razvoj
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operational. Title: Quantum Nanodiamonds with Group-IV Color Centers for Sensing in Extreme Conditions Keywords: quantum technologies, nanodiamonds, color centers, CVD synthesis, matter, optics, high-pressure
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detection and multi-animal tracking in complex environments. Behavioral analysis and animal posture recognition. Image processing under uncontrolled conditions (variable lighting, occlusions, movement
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in combination with data from automatic milk feeders. Integrating all these data into artificial intelligence (AI) models will enable faster and more accurate detection of early signs of respiratory
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motivated and talented doctoral candidate to work on the biophysics of host-pathogen interactions using in vitro model systems mimicking chronic diseases. The project foresees ample collaborative
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security