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. https://doi.org /10.1007/s13280-023-01948-8 ). This postdoctoral position is part of the Marianne and Marcus Wallenberg Foundation-funded strategic research collaboration and postdoc program between
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26 Apr 2024 Job Information Organisation/Company Stockholm University Research Field Environmental science » Natural resources management Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 23 May 2024 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is...
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part of the Marianne and Marcus Wallenberg Foundation-funded strategic research collaboration and postdoc program between the Stockholm Resilience Centre (SRC), Stockholm University, and the Natural
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Ref. No. SU FV-1484-24 at the Stockholm Resilience Centre . Closing date: 24 May 2024. Stockholm Resilience Centre (SRC) is a research centre on resilience and sustainability science at Stockholm University. The Centre advances the scientific understanding of the complex, dynamic interactions of...
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and spoken English communication skillsOur offerWe offer an exciting job in a stimulating and international working environment. The 2-year postdoc is financed by a Fellowship from the Carl Trygger
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later than 2024-05-05, via e-mail to postdoc[email protected] and state in the subject line: SU FV-1370-24 + name of the applicant. and, in addition, please include the following documents Cover letter
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nationwide program of seminars, courses, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry Main
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evolution, ecotoxicology, marine biology, plant physiology, systematics, and environmental and climate science. Presently around 100 people, including 35 PhD students and 10 postdocs, in 25 research groups
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-disciplinary and international network between PhD students, postdocs, researchers, and industry Main responsibilities Scientific research and education. The Postdoctoral Fellow is also expected to instruct
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motivated postdoc to join our collaborative project on multiscale simulations & machine-learning (ML) applied to membrane protein function. The candidate will work in the Lab of Prof. Ville Kaila (Stockholm