910 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Sweden
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for applicants are available at: How to apply for a position . Where to apply Website https://su.varbi.com/en/what:job/jobID:907631/type:job/where:39/apply:1 Requirements Research FieldPhysicsEducation LevelPhD
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of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. The student contributes to this project to explore fundamental and applied questions in
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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knowledge. The required training for teachers in higher education may be completed during the first two years of employment if there are exceptional grounds. documented ability to teach in Swedish or English
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and CH4) from headwaters, and use of machine learning and process-based model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed
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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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teaching and learning. The work duties include: The post-doctoral fellow will investigate how stellar and geomagnetic information is sensed and processed by the Australian Bogong moth Agrotis infusa, a model
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publication list. Where to apply Website https://lu.varbi.com/en/what:job/jobID:907034/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research FieldMedical
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regular project meetings and collaborate closely with other members of the research group. Publish scientific articles, both independently and in collaboration with others. Teach up to 20% of your working
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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