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SPECIFICS Postdoctoral Scholar – Public Health Sciences Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking postdoc scholars
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to streamflow as a function of climate and landscape controls, using deep learning and explainable AI Communicate and discuss results with stakeholders to integrate the findings into water management
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scientific and/or educational staff, five adjunct positions, three technical staff, nine researchers, and around 20 Postdocs and PhDs. The section has a strong portfolio within terrestrial cold-region
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(postdoc) Limited contract until: Job ID: 5000 Explore and teach at the University of Vienna, where over 7,700 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate
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or experimental research involving passive, active, specialty, or telecommunication optical fibers, or in modeling linear and nonlinear phenomena—including the use of deep learning methods—in the field of optical
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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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-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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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