38 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at Uppsala universitet
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with machine learning for batteries, with
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to machine learning is well funded and continuously publishes in high impact journals. We foster a creative working environment, where you will find freedom to implement, develop, and publish research
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within data-driven Life Science research. More information about NBIS can be found at https://nbis.se . Duties We are looking for someone who wants to help enable life science research in Sweden that goes
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-driven Life Science research. More information about NBIS can be found at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what
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methods, including GIS and spatial analysis. Applicants are invited to visit our departmental website to review the kinds of research we do in the department (https://www.uu.se/en/department/human-geography
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on developing biochar as a sustainable feedstock for hard carbon anodes in sodium-ion batteries. In collaboration with Besca AB (https://www.bescacarbon.com/ ), this project explores microwave plasma technology
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/research institute. For more information on assessment and assessment criteria, see the Appointment Regulations for Uppsala University and the Faculty of Science and Technology’s Guidelines
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the world. More information about the Department can be found here: http://www.pcr.uu.se . We are seeking an internationally recognized scholar who is interested to contribute to further developing
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Python) and data analysis or machine learning applied to materials science Ability to work in interdisciplinary project or industrial experience About the employment The employment is a temporary position
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. Previous experience with machine learning applications in molecular modelling, including experience with at least three of the following Python libraries: TensorFlow, PyTorch, JAX, RDKit. Previous