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of the Internet-of-Things (IoT). Where to apply Website https://www.academictransfer.com/en/jobs/360184/phd-in-adaptive-connectivity-ar… Requirements Specific Requirements A master’s degree in
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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 Are you passionate about advancing Machine Learning by integrating
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! Recent advances in EO, such as dense satellite time series, rapid data access, and machine learning, have enabled the detection of deforestation, fires, floods, agricultural activities, and land cover
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present the results at national and international conferences, and contribute to the department’s teaching programs. Where to apply Website https://www.academictransfer.com/en/jobs/360204/team-hire-2-phd
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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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conduct research in a collaborative environment. Where to apply Website https://www.academictransfer.com/en/jobs/360011/phd-in-femtosecond-optical-appr… Requirements Specific Requirements A master’s degree
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contribute to the development of innovative, physiology/ machine learning-driven clinical solutions and decision support tools for critically ill patients, focusing on cardiovascular and respiratory monitoring
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-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems
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degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch
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systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques