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contacts with other disciplines nearby and interacts with biomedicine, pharmacy, physics and materials science. Scientists with expertise in biophysical methods of interaction analysis are responsible for a
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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
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We are looking to recruit a postdoc in the Electronic and Photonic Materials division in the Department of Physics, Chemistry and Biology (IFM) for research on the ultrafast optical spectroscopy
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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
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, computational materials science, computer science, or a related field, awarded no more than three years prior to the application deadline*. Background in physics-based battery modelling and/or machine learning is
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found at https://www.maxiv.lu.se/accelerators-beamlines/beamlines/flexpes/ This position is associated with the UHV surface & material science branch of the beamline, and is focused on the own research
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qubits (i.e. the building blocks of the quantum computer) —caused by ionizing radiation from cosmic rays and radioactive materials— which tend to be correlated and cannot be corrected using existing error
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Applied Physics and Electronics currently has about 100 employees and conducts research in