913 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" positions in Sweden
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will (micro-)benchmark Java-based applications using JMH. You will collect performance measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning
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that you will help us to build the sustainable companies and societies of the future. The research at the Division of Machine Elements is mainly focused on tribology and its applications. The research group
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of your doctoral degree certificate, and any other documents you wish to submit (copies of diplomas, transcripts, references, letters of recommendation, etc.) Where to apply Website https
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motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14614&rmlang=UK
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. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14683&rmlang
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is considered the official date of completion. Exceptions to the three-year eligibility limit may be made for documented circumstances such as parental leave, sick leave, or military service. What you
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. The primary objective is to develop computational methods, using deep learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted
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. The department has approximately 160 staff members, of which 30 are PhD students. For more information, visit https://www.umu.se/en/department-of-ecology-and-environmental-science/
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Website https://umu.varbi.com/en/what:job/jobID:899404/type:job/where:39/apply:1 Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteUmeå
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Senior Lecturer in Architectural design with focus on artistic research in architecture (PA2026/389)
matter of the post and the work duties it will involve. Demonstrated teaching expertise. Completed five weeks of training in higher education teaching and learning, or acquired equivalent knowledge by