146 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Sweden
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great emphasis on personal qualities such as curiosity, responsibility, and ability to work in a team as well as independently, and on personal suitability for the learning and research tasks. Necessary
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suitability for the learning and research tasks. Necessary qualifications: The applicant should by the date of admission to PhD studies have a second-cycle degree (e.g. MSc or equivalent) in
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specialist. Teaching and/or research experience in the field is considered merits. Proficiency in English is required, and you either speak a Scandinavian language or are committed to learning Swedish
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teaching within the subject area, in collaboration with other researchers at the faculty and across the university. The successful candidate will also contribute to the development of teaching and learning
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teaching and learning in higher education For employment as a professor, senior lecturer or lecturer (with a period of employment longer than two years), the employee must have completed training
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, biomarkers and drug targets for early diagnosis and prevention of cancer. Your tasks include being responsible for the development and application of machine learning and statistical methods
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experience in the field is considered merits. Proficiency in English is required, and you either speak a Scandinavian language or are committed to learning Swedish within a time-period of ca 2-3 years
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position. The department will provide support with language learning. Eligibility The applicant must: hhave a degree in Veterinary Medicine and be licensed to practise veterinary medicine in Sweden, or
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simulations (QM/MM and atomistic molecular dynamics simulations, free energy methods, and machine learning). Candidates with either computational and/or experimental expertise are encouraged to apply
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professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Your work assignments Machine learning, and in particular deep learning, requires