177 machine-learning "https:" "https:" "https:" "https:" "The Open University" PhD positions in Sweden
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Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
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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
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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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practices. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ WIFORCE Research School Do you want to contribute to the future sustainable use
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here Want to make a difference? Join us and contribute to better health for all Where to apply Website https://kidoktorand.varbi.com/en/what:job/jobID:914443/type:job/where:39/apply:1 Requirements
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us and contribute to better health for all Where to apply Website https://kidoktorand.varbi.com/en/what:job/jobID:910639/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation
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application with the reference number below. Final day to apply: 27 April, 2026 Reference number: 2450-2026 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator
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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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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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the form of various single subject courses in the aesthetic field and in Craft Education. The division also participates in the interfaculty collaboration Form, sloyd, practical-aesthetic learning and design