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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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. The project will combine cellular and molecular methods with structural studies using cryo-electron tomography. We offer a unique setup for this project in terms of a collaborative environment between six
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and written) are a requirement. For more information, see: https://streuff.weebly.com and https://www.carltryggersstiftelse.se Application The application should state the above reference (CTS25) and
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electron microscopy. Documented experience in photophysical characterization, including UV–Vis absorption spectroscopy, steady-state and time-resolved photoluminescence spectroscopy, PL quantum yield
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form. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references
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Email: Postal Mail: registrator@ltu.se Web Page: https://www.ltu.se/en
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, aleksandar.mehandzhiyski@liu.se Martina Klefbeck HR partner, martina.klefbeck@liu.se Website for additional job details https://liu.se/en/research/laboratory-of-organic-electronics/open-positions-at-… Work Location(s
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, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians
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after the date above will not be considered. Please attach your selected research publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs
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(AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods that blend traditional disciplines