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/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data
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description and working tasks The project will develop privacy-aware machine learning (ML) models. We focus on data-driven models for complex and temporal data, including those built from synthetic sources
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Post doctor (2 years) within Sensory Mechanobiology The Department
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be implemented in collaboration with other groups at Department of Molecular Biology, providing excellent opportunities for the prospective candidates to expand the professional network and acquire
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for molecular dynamics (MD), slashing computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with
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carries out research and postgraduate education in ecology, environmental science and physical geography. The department has about 160 employees, about 30 of whom are post-docs. The postdoctoral Fellow will
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in this project you will learn to use and help to develop cutting-edge methodologies linked to vibrational spectroscopy and multivariate analysis and apply these to research questions within
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society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read here
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postdoctoral researcher with a focus on AI trustworthiness modeling on multimodal data and machine learning models. The Department of Computing Science has been growing rapidly in recent years, with a focus on