26 phd-machine-learning Postdoctoral positions at Swedish University of Agricultural Sciences in Sweden
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, 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 completed their doctorate no more than
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We are seeking a post-doctoral researcher to boost our team, and to contribute to an ongoing project focused on policy to reduce carbon emissions from the Swedish car fleet. The core of the project
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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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, environmental modeling, machine learning, and statistics are meritorious, as well as the ability of fast learning and critical thinking. The assessment will put particular emphasis on (1) your scientific
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water, provide stability, and acquire nutrients. Nitrogen, a vital macronutrient crucial for plant growth, has historically been studied mainly in its inorganic form. However, recent advancements in soil
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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
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on personal qualities such as ability to work independently, flexibility, ability to prioritize and meet deadlines, to be constructive in scientific collaborations, curiosity and willingness to learn as
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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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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