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of Knowledge: Statistics, Data Science, and Law Field of Activity: Econometrics, Data Science, Natural Language Processing, and Empirical Legal Studies Summary Opportunity for a Postdoctoral Fellowship linked to
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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | about 1 month ago
research programs and activities at the institute beyond their thesis projects. The working language is English. PhD Program: Education component A structured doctoral education complements the research
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the position. The majority of your working time is devoted to your own research studies. As a PhD student you are expected to develop your own ideas and communicate scientific results in English. We offer a
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analysis and professional skills that are necessary for bioscience research and related non-academic careers. https://www.yorkshirebiosciencedtp.ac.uk Project Description: This PhD project explores a cutting
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… Requirements LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelExcellent LanguagesITALIANLevelMother Tongue Additional Information Additional comments https://www.unibs.it/it/ateneo/amministrazione/concorsi
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Postdoc for the study of age-dependent colorectal cancer metastasis 100% Department for BioMedical Research, https://www.dbmr.unibe.ch/, UVCM, Gastroenterology Start of employment: 01.03.2026 or as
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Politics (IHP). The applicants’ PhD and research have to be clearly historical in nature. The applicants must have an outstanding research and teaching track record and have made a significant contribution
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) Infrastructures of toxic evidence and civic protection (UiO and MU) Epidemics and natural disasters as ‘business’ (UiO and MU) Read more about the areas here: https://healenae.eu/phd-calls The candidate must
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or a Nordic language as their mother tongue are not required to document their Norwegian or Nordic language proficiency for this position. However, a high level of Norwegian or Scandinavian language
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oral communication skills in English. Meritorious: Knowledge and experience in: working with statistical methods and analyses. programming and data processing. We place great emphasis on personal