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and remote sensing imagery for ecosystem monitoring. Develop machine/deep learning-based workflows to interpret ecosystem disturbance. Synthesize model simulations and multi-source observations
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and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and
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leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
]. The student will also look into applications in tabular and time-series predictions. Assignments : The PhD project aims at developing foundation models for performing in-context learning on high-dimensional
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. Job Description: Student Program Coordination Responsible for all aspects of coordinating student programs, including Certificate, MHS, and PhD level programs. Assist students with questions, forms, and
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. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
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methods tailored to ILC. The PhD researcher will fine-tune and benchmark pathology foundation models using multi-site H&E and immunohistochemistry whole-slide images. The aim is to learn representations
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of the research is to use machine learning methods to find models of ship trajectories and traffic patterns that can be used to detect anomalies and predict into the future. The basis for this is huge amounts
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at different percentages can be made by mutual agreement. This position aims to build upon Berkeley’s legacy at the intersection of statistics and computer science in the areas of Machine Learning (ML) and
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de Barcelona. https://www.ub.edu/escoladoctorat/en/access-and-admission/access-pathwa… ; Specific Requirements Experience in global optimization and machine learning interatomic potentials would be