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—such as the 4D Imaging Lab, NanoLund, and MAX IV—will also be possible. Subject description This project will investigate the failure mechanisms of silicon-based anodes in solid-state batteries (SSBs), a
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, electrification of heat, and energy storage are deemed. We aim to design and prototype different technologies, including low and high temperature thermal energy storage and integrated systems. The postdoc will
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, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on
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), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The applicant is expected to have a strong computational focus on innovative development and application
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concern our common Swedish domesticated animal species with a focus on anesthesiology, diagnostic imaging, veterinary nursing, epidemiology, laboratory animal science, surgery, clinical pathology, medicine
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data at the actual beam line for LDMX, which will be operated parasitically to the photon science conducted with LCLS-II. In addition, we plan to collect cosmics data with a prototype of the hadronic
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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide
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electronic devices The project will include three secondments: University of Bern (Switzerland) – advanced in-operando spectroscopic techniques Molecular Gate (Spain) – advanced methods to image doping
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which requires code and data sharing and good team work. The duties may also include participation in teaching and other departmental work (however, a maximum of 20% of working hours). Qualifications
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or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide data analysis support to data