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apply at https://math.au.dk/om/ledige-stillinger/phd . Contact: Peter Jørgensen Email: Postal Mail: Ny Munkegade 118, Building 1530 DK-8000 Aarhus C Denmark Web Page: http://math.au.dk/en/
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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the Ph.D. candidate is enrolled as a Ph.D. student at Aarhus University Graduate School of Health ( http://phd.health.au.dk/ ) in a separate procedure before starting as a Ph.D. student. The successful
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details, see the ACE website: http://www.econ.au.dk/ace ACE is funded by the Danish National Research Foundation with a Center of Excellence grant for the period 2025-2031, and includes researchers from
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. The page may be updated with new areas until the deadline for application. Beyond the research conducted during the PhD project, a successful candidate is expected to teach three to four hours weekly during
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after you have submitted your application, you must send this person’s details (name, job title, place of work, and email address) as well as the name of the position you have applied for to: HR.Nattech