18 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at Stockholms universitet
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emulators for accelerated forward modeling Advanced data-intensive machine learning and AI techniques for survey analysis Applications to major international surveys, including LSST (Rubin Observatory
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Infrastructure? No Offer Description The Department of Computer and Systems Sciences. With over 200 employees and 4,500 students, the Department of Computer and Systems Sciences (DSV) is a strong and dynamic
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experiments. For more information about our group and current projects, please visit https://qtech.fysik.su.se/ . This project is funded within the QuantERA II Programme that has received funding from the EU
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advice and by building a social network in their new hometown. http://www.sdcn.se . Project description The position will be associated with a project on topological phases in moiré materials, focusing
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processing using high-throughput experimentation (HTE), analytical tools and machine learning under CircuLab. The candidate will be dedicated to establish the unique functionality of the platform and should
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apply Website https://su.varbi.com/en/what:job/jobID:887501/type:job/where:39/apply:1 Requirements Research FieldPsychological sciencesEducation LevelPhD or equivalent Research FieldPsychological
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matter observatory. Main responsibilities The postdoctoral candidate is expected to focus on statistical data analysis including machine learning, Monte Carlo simulations, operations and calibration
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chemistry for synthesis of chiral target molecules. See the group website https://www.organ.su.se/ks/ for more information about the group, projects, and links to publications. Qualification requirements In
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are available at: How to apply for a position . Where to apply Website https://su.varbi.com/en/what:job/jobID:883893/type:job/where:39/apply:1 Requirements Research FieldBiological sciencesEducation LevelBachelor
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. The vision is a sustainable future through materials science. Read more: https://wise-materials.org . Project description Project title: Heterogeneous catalysis for sustainable organic synthesis. Supervision