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of the institution’s BSc or MSc level programmes at the University of Gothenburg or Chalmers University of Technology. You should have good knowledge in English, both spoken and written. You need to be in Gothenburg
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research team. The working language of MePhiS is English, and excellent written and oral communication skills in English are required. Applicants should be prepared to provide proof of their qualifications
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 29 minutes ago
, multi-site team Track record of peer-reviewed publications Fluent in written and spoken English; German is a strong plus, not a requirement Candidates who meet most, but not all
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learning as well as a strong background in scientific programming (in languages like Julia, Python, Fortran or C/C++). The applicant must hold a PhD in physical oceanography, atmospheric sciences, computer
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to conduct your research independently while being an active member of an international research team. Excellent written and oral communication skills in English will be needed. We will offer a meaningful
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very good proficiency (B2) in German or English. You must be willing to acquire very good (B2) German proficiency within 2 years. What we offer: Work-life balance: Our employees enjoy flexible working
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research expertise and initiative, evidenced by international publications in relevant peer-reviewed journals Teaching skills and experience in e-learning, as well as IT skills Excellent language skills in
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Department: Medicine | School Biomed Sci - Biomedical Informatics This Post Doctoral Scholar will be responsible for conducting natural language processing research in pharmaco-informatics, and leading and
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of Quebec at the campus where the position is based / located. McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby
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, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language