21 machine-learning-phd "University of Zurich" PhD positions at Sveriges lantbruksuniversitet
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knowledge in microbial ecology or ecology. You should show a keen interest in learning machine-learning and other AI methods. The working language is English and excellent communication skills in English
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architecture with specialization in urban vegetation and management Description: We seek a motivated PhD candidate to carry out a research project exploring how the plant communities and engineered soil of urban
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science. Fluent in English. Meriting: Experience in remote sensing data processing and analysis Knowledge of image analysis, signal processing etc. Knowledge of machine learning methods Knowledge in statistics
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, agronomy, soil science, ecology, biogeochemistry, environmental science, LCA, food science, modeling and simulation, statistics, or machine learning. You will be able to complement your previous knowledge
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develop sustainable solutions for the future. Read more about working work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ PhD position - plant-environment and plant-plant interactions Are you
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of People and Society At the Department of People and Society, we conduct research in and teach
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18 May 2024 Job Information Organisation/Company Sveriges lantbruksuniversitet Research Field Agricultural sciences » Agronomics Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 2 Jun 2024 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job...
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about the PhD education at SLU at www.slu.se/en/education/programmes-courses/doctoral-studies/ Academic union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner
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the context of digital transformation and wish to study the ways in which new technologies and the use of data intersect with, and potentially transform planning practices? We are seeking a motivated PhD
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. It comprises about 100 staff and co-workers that includes professors, docents, researchers, postdocs, PhD-students and support staff and is organized in three divisions, namely, Plant Breeding, Plant