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have a PhD degree in biology, genetics, silviculture, forest science, forest management, biostatistics, forest restoration, or a related field. The candidate is expected to have a deep knowledge of plant
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statistical inference and ecology through the DIASPARA project. Regular online and in-person meetings with the DIASPARA team are scheduled throughout the project. Required qualifications: PhD degree in
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Energy Agency and will carried out at the Department of Molecular Sciences at SLU, in collaboration with researchers at Örebro University and various biogas plants. Your profile Applicants must have a PhD
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record Eligibility requirement PhD in marine biology, physical geography or equivalent subject About us Do you want to work in an inspiring environment and contribute to the sustainable use of our seas
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that will be applied are interviews, GIS spatial analysis techniques and fieldwork/analysis in Uppsala. Your profile We are looking for a candidate with a PhD in landscape architecture or related discipline
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expected to contribute to teaching in forest pathology at basic and advanced level courses at SLU. Qualifications: The successful candidate should hold a PhD Forest Pathology or similar subject. The
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several ongoing projects in quantitative genetics and genomics. Your profile You have a PhD in genetics or a related subject for 5 to 8 years. At least 2 postdoctoral or research positions for 1 to 2 years
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the knowledge needed for this work. The work also includes scientific and popular science publishing. Qualifications We are looking for a goal-oriented PhD graduate with broad ecological knowledge and ambition
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information of at least two reference persons; iv) copies of previous university degrees and transcripts of academic records. If the PhD thesis has not been defended at the time of application, clearly indicate
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experiences (max 2 pages), (iii) a copy of PhD diploma, and (iv) contact information of at least two reference persons familiar with the applicant’s earlier scientific work. About us The Department of Forest