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complement the Department’s ongoing activities in landscape-scale modelling, with a specific focus on nature-based solutions in agricultural landscapes. The successful candidate will be integrated
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application of cumulative impact assessment model using food webs, which is intended to assess impact of multi-stressors on trophic and non-trophic interactions networks. The modelling will be primarily based
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Postdoc position in advancing nature-based restoration and sustainable management of freshwater l...
The Department of Biology, University of Southern Denmark, invites applications for a 3-year postdoc position within the field of nature-based restoration and sustainable management, aimed
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at field and regional scales, and of exploring machine learning (ML) and AI approaches to develop surrogate models based on field observations, remote sensing or modelling outputs. We expect that you will be
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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and
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01.04.2026 or as soon as possible thereafter. Job description Research in this project involves a synergistic combination of numerical modeling and theoretical development of physics-based and physics
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opportunity to join the ERC-funded project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment These are 1–year positions from 1 May 2026 or as soon possible. Job
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and conducting laboratory work. Insight into applied mathematics, linear algebra, process-based modeling, and soil health indicators. Experience with Python, applied statistics, and gradient-based
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you! Responsibilities and qualifications The Postdoc positions address four exciting topics. For all positions, you will collaborate closely with a group of PhD students, postdocs and international
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
to clinical studies, and cell-based basic pharmacology and environmental medicine. Qualifications The applicant must hold a PhD degree, or have obtained one at the expected start date, in epidemiology