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communicate the results of your research verbally and in writing, Teach courses at Chalmers' undergraduate level, performing teaching duties corresponding to 20% of working hours, Design and implement deep
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networks for deep learning on dynamic graphs. arXiv preprint. Trantas et al (2023). Digital twin challenges in biodiversity modelling. Ecological Informatics. Borowiec et al (2022). Deep learning as a tool
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set the minimum pay determined by rank and step at appointment. See the following table for the salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26
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agreement. The salary range for this position is $140,000 - $201,800 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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of the elasticity parameters observed on real examples, iv) coordination of the activities with the other project members. Where to apply Website https://www.univr.it/it/concorsi/contratti-e-assegni-di-ricerca
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study on camera pose estimation using deep learning-based methods, ii) identification of scenarios to be used as case studies, iii) data collection and construction of 3D models of the involved scenes, iv
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, Computational Linguistics, Machine learning, Computer Engineering or related fields Preferred Qualifications: ● Strong experience implementing and training deep learning models in PyTorch, with attention
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leadership, underpinned by deep expertise in flow through porous media, with demonstrated interest in and ability to teach courses across our EME undergraduate and graduate programs aligned with
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for this position, however, we are still accepting applications from other qualified candidates. Position Summary Our goal is to identify computational principles underlying learning and decision-making behavior and
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of undisturbed and post-fire forest dynamics across a diversity of forest types in Oregon and Washington. Employee will learn about forest succession, tree mortality, and post-fire conditions in mature and old