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conferences and journals, with experience in one or more of the following areas: mathematical analysis of AI models in terms of correctness of outcomes, neuro-symbolic reasoning in cybersecurity, efficient
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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architectures) to large-scale biomedical datasets. These models will be used to work with different types of data from the healthcare and biological domains, including genomic profiles, and clinical event
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, and fairness attacks, as well as to increase the trust that their users have in these systems, while accounting for different phases of the AI life cycle, starting from data collection through training
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Convergence Environment under UiO:Life Science , based at the Natural History Museum, and in collaboration with the Department of Mathematics, the Department of Biosciences and the Department of Philosophy
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, statistics, machine learning, mathematics, data science, computer science or another relevant field. Doctoral dissertation must be submitted for evaluation by the closing date. Appointment is dependent
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collaborative environment within our organization. To contribute to research aimed at improving sustainability and efficiency in food production. The successful candidate will work on different foods (dairy
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of climate change modelling and Carbon, Capture, Utilization and Storage. The position will be involved in a number of projects, involved in different aspects of linking climate change with energy system
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Dartmouth College, Mathematics Position ID: Dartmouth-PDSML [#26966] Position Title: Position Type: Postdoctoral Position Location: Hanover, New Hampshire 03755, United States of America [map
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, which makes it ideal for ecological simulations where precise mathematical descriptions of key processes are lacking but data for training are available. The MCL methodology will be applied on critical