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Are you interested in developing mathematically grounded methods for uncertainty quantification in deep learning, particularly for large language models in healthcare applications? Are you looking
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oral and written proficiency in English is also required. Merits are: A particular interest in, and prior coursework in, inorganic chemistry or physical chemistry at an advanced level (at least 15 ECTS
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the employment contract is signed. Applicants must have excellent mathematical maturity and programming skills, and very good English skills, orally and in writing. You should also be able to work independently
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both written and spoken English are required. Experience in combinatorics, incidence geometry, matroid theory, geometric group theory, algebraic methods and/or rigidity theory, is beneficial, but not a
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engineering, particularly ultrasound technology. Very good ability to communicate in English, both spoken and written. We expect you, as a person, to be meticulous and goal-oriented. Meritorious are: Knowledge
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one of five faculties at Linnaeus University. We provide education, conduct research and engage in collaboration within the fields of health, healthcare and the natural sciences. The Department
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ability. Collaborative skills are important, as the work is carried out in project form and in dialogue with other researchers and stakeholders. Excellent English skills, both spoken and written
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value diversity and different perspectives in our team and we actively work to create an inclusive and supportive research environment. More information about the lab: https://renner-lab.com
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or an equivalent subject. Additional required qualifications are: very good proficiency in both written and spoken English; documented experience in laboratory research, including sample preparation and working with
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-benefits . More information on the Swedish social insurance benefits system can be found at https://www.forsakringskassan.se/english/moving-to-working-studying-or-newly-arrived-in-sweden/social-insurance