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technology or related field. Documented knowledge and experience in data programming and modelling. Excellent communication skills in English, both written and spoken. Meritorious qualifications Knowledge
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of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies We offer The University of Gothenburg is a state authority, which means special benefits, more holidays
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University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies We offer The University of Gothenburg is a state authority, which means special benefits
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experience in molecular biology after completion of their degree will also be considered. Experience in one or more of the following will be seen as assets: single cell RNA sequencing, anaerobic cultivation
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background (academic transcripts, degree diplomas, evidence of prior teaching and/or industry experience). A copy of your Master thesis (if not finished at the time of application, please send a current draft
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., analysis, statistics and modelling), proficiency in the R programming language (of particular value if coupled with TMB), familiarity with version control pipelines, preferably experience in fisheries stock
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an international peer-review system Publications within the project’s research area Training in higher education teaching and learning Experience researching innovation and patenting in historical perspective
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scientific literature in English and communicate effectively in both written and spoken English. Excellent communication and teamwork skills are essential. Meritorious qualifications: Knowledge and experience
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opportunity to gain experience in teaching and supervision. You will become a member of the Network of Young Scientists (NYS) within CH2ESS, which organizes workshops, field excursions, interdisciplinary
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preferably experience working with cattle. Documented experience in data collection, processing, and management of data from animal feeding trials. Experience with wet chemistry methods for feed analysis