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group of Assoc. Prof. Kruve and associated with the ERC project ” Machine Learning and Mass Spectrometry for Structural Elucidation of Novel Toxic Chemicals”. The project aims to develop novel machine
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problem-solving mindset. The ambition to conduct research on the interface generative AI and chemictry is essential. Candidates with experience with machine learning are encouraged to apply, while
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Ref. No. SU FV-4761-23 at the Department of Computer and Systems Sciences . (Closing date: 29 February 2024) Prolonged application time - new closing date: 31 March 2024. The Department of Computer
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background in computational hydrological and/or hydro-climate research with a focus on extreme events Programming, hydrological modeling, remote sensing, machine learning and spatial data analysis skills A
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of machine learning and neural networks for identifying and reconstructing neutrino events; design of the next generation of neutrino observatories including IceCube-Gen2. Qualification requirements