24 data-science-phd Postdoctoral positions at Swedish University of Agricultural Sciences
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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
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have a PhD in animal science, genetics, or a related subject. The doctorate was awarded no more than three years before the last application date. You have excellent English language skills, both in
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Do you enjoy working with big data and are you intrigued by the role of microbes in plant health? We are looking for a postdoc who is interested in fundamental research at the intersection between
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with a PhD degree in molecular biology, molecular genetics, functional genomics, cell biology or related topics that the employer considers equivalent. Applicants should have a strong background in plant
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upcoming projects in related areas. Your profile We are seeking a highly motivated candidate who has a PhD in agriculture, biology, plant breeding or other similar types of education, preferably with a
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education, publications and relevant work experience, and 4) names and contact information for at least three references; 5) PhD diploma. Academic union representatives: https://internt.slu.se/en/my
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into the improvement of disease resistance in crop plants. Qualifications: We are looking for a highly motivated candidate with a PhD degree in plant molecular biology, plant genetics, plant cell biology or related
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markets. Note that the position as a postdoctoral researcher implies at least 80 percent research. Qualifications Successful applicants must have completed a PhD in economics, or be expecting to complete
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must have a PhD degree in silviculture and/or forest management or a very similar subject. The candidate must have proven experience in data analysis of tree and stand data, described in scientific