13 machine-learning-phd Postdoctoral positions at Sveriges lantbruksuniversitet in Sweden
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imagery, spectral analysis, time-series analysis, change detection, upscaling, data fusion, forest pests and diseases, environmental modeling, machine learning, and statistics are meritorious, as
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plants. About the position The plant roots are a highly powerful and dynamic part of the plant body that builds its underground architecture to access water, provide stability, and acquire nutrients
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collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology, pathology, policy and planning. We teach bachelor, Masters and PhD level courses addressing all
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constructive in scientific collaborations, curiosity and willingness to learn as well as good analytical skills. The position is intended for a junior researcher and we are primarily looking for people who have
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research complements an ongoing PhD project in the lab and includes a close collaboration with Assoc. Prof. Mariette Andersson and Assoc. Prof. Per Hofvander at SLU and SolEdits AB in Alnarp, Sweden (https
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career. You should have documented research experience and an interest in one of the 3 areas identified above. The position requires a PhD in quantitative disciplines, such as ecology, agronomy, biology
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) 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 in your CV the date of the scheduled defense
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. There will be considerable room for the successful candidate to shape the contents of the research and be creative. Your profile You have a PhD in animal science, genetics, or a related subject. The doctorate
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are looking for a highly motivated candidate with a PhD degree in plant molecular biology, plant genetics, plant cell biology or related topics. Proven expertise in plant virology and host-pathogen interactions
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motivated candidate who has a PhD in agriculture, biology, plant breeding or other similar types of education, preferably with a strong component of genetics. Furthermore, the candidate should have good