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Position Details Position Information Recruitment/Posting Title Winter 2027 Instructor, Learning and Teaching Department Learning & Teaching Salary Details A minimum of $2,777.00 per credit. Offer
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of dynamic radar scenes. The project combines methodological machine learning research with experiments on real automotive sensor data. You will have access to research vehicles and advanced radar prototypes
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 days ago
and physical oceanography, data assimilation and machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics
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-based, and machine-learning approaches - Identifying markers of intelligent, intentional, and malicious manipulations of detection systems - Developing detection and classification methods to distinguish
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communication skills. Computer skills, experience working with Canvas or other Learning Management Systems desirable. Ability to prioritize tasks and work collaboratively. Experience working directly in or with
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package, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https
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data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image analysis
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to make a direct impact on patient care. About your role During machine perfusion, donor livers can be maintained outside the body, creating a unique opportunity to assess organ quality and deliver targeted
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machine learning, explicabilidad de modelos y despliegue de sistemas de monitorización (rendimiento, desviaciones y alertas. Grado en Ingeniería de la Ciberseguridad Additional Information Selection process
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at NTU are looking for a Research Fellow (RF) to carry out in research in probabilistic machine learning, causal discovery and GenAI, by exploring cutting-edge approaches such as causal representation