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-design. Experience with hardware acceleration (FPGAs, GPUs, SoCs) and low-power design. Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus. Ability to work in an
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research managers, with expertise in data science, machine/deep learning, biomedical informatics, trustworthy AI, and health-related applications. The research group has an established track record in
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| Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 5057 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique
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of faculty at SUNY Polytechnic Institute and the University of South Florida, consisting of mathematicians, physicists, computer scientists, and engineers investigating applications of deep learning
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and methods for advancing the research effort Design and carry out computer experiments on deep learning and related robotic simulations Collaborate with other engineers to create prototypes of embodied
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: | Working hours: 40,00 | Classification CBA: §48 VwGr. B1 lit. b (postdoc) Limited contract until: Job ID: 5057 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a
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of the appointment. Demonstrated experience with deep learning methods or sophisticated mathematical frameworks applied to large-scale or scientific datasets. Experience working with observational seismology data (e.g
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combining deep-learning based motion predictions and optimization-based motion planning. Key research questions include multi-modal uncertainty awareness and generalization and transferability across
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-purpose deep learning frameworks, such as PyTorch; An interest in and ability to share knowledge with other ESA organisational units. You should also have good interpersonal and communication skills and
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Job Description The Department of Chemical Engineering (ChemE) has more than 26 faculty, 16 postdocs, and 14 staff. The University of Washington is committed to fostering an inclusive, respectful