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the framework of the project. Qualifications and Team : We seek a researcher with demonstrated experience in perturbative modeling of LSS (in particular biased tracers of dark matter), analysis of simulated
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biology, microbiology, environmental science and environmental engineering as well as disease ecology. The Linnaeus University centre in Ecology and Evolution in Microbial Model Systems (EEMiS) in Kalmar
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focused on modeling and simulations of turbulent mixed-phase clouds. This interdisciplinary project encourages collaboration with experts in atmospheric physics. The successful candidate will contribute
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Duke University, Wuhan University and the Municipality of Kunshan, China ( https://dukekunshan.edu.cn/ ). Our campus provides an innovative and robustly interdisciplinary undergraduate liberal arts
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to apply is 31 March, 2026. Research environment The postdoc will join the group of Dr. Barbara Sixt, a well-funded and highly international research team. The lab is based at Umeå University in
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to bridge this knowledge and competence gap and develop the first model capable of accurately simulating both on and offshore transport of sediments and microplastic particles without case-specific
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 4 days ago
Researcher (R2) Positions Postdoc Positions Application Deadline 23 Mar 2026 - 15:00 (Europe/Warsaw) Country Poland Type of Contract Permanent Job Status Full-time Hours Per Week 40 Offer Starting Date 1 May
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certificate (copy). A cover letter (See Application for CTU Global Postdoc Fellowship form) You may attach other documents supporting your application, such as recommendation letters etc. The job start date is
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the selection procedure. (for details: national knowledge security guidelines ) Where to apply Website https://www.academictransfer.com/en/jobs/357945/postdoc-position-in-singular-le… Requirements Additional
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partner from data sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal