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profile The successful candidate must have: - a PhD in a discipline such as Environmental Sciences, Ecology, Forestry, or any other area relevant for the postdoc project. - previous knowledge of exploring
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activities aiming at developing soft skills and at strengthening networks and collaborations in academia and industry. Be part of a strong postdoc community. The Umeå Postdoc Society fosters networking and
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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may be taken into consideration. A suitable candidate will have a PhD in computer science, statistics, sociology, economics, political science or a corresponding subject of relevance to computational
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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analysis of partial differential equations. Subject area for the position: Mathematics Location until further notice: Växjö, Sweden. Hours and term: Full-time for 2 years in accordance with the postdoc
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gas, Explore applications. Duties also include supervision of master and doctoral students. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or
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due to illness, parental leave, clinical service, appointments of trust in trade union organizations, or similar circumstances. Requirements A PhD (or equivalent foreign degree) in a relevant discipline
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for the position: Forest Materials Location until further notice: Växjö Hours and term: Temporary employment 100% for 2 years Starting date: As soon as possible. Job description The valorization
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, fitting to the project plan. Your profile The candidate should have a PhD degree in natural resource economics or a similar subject. Proven experience in data analysis of markets related to natural