24 biostatistics-phd Postdoctoral research jobs 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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identified above. The position requires a PhD in quantitative disciplines, such as ecology, agronomy, biology, ecohydrology, earth and environmental sciences, applied mathematics or physics, or related fields
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to identify new regulators as targets for autophagy manipulation. The planned research complements an ongoing PhD project in the lab and includes a close collaboration with Assoc. Prof. Mariette Andersson and
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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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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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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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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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workshops and supervising bachelor or master’s students as and when the opportunity arises. Support is provided by senior members of the team and a research engineer Your profile Candidates should hold a PhD
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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