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For the Senckenberg Museum of Natural History in Görlitz, the Senckenberg Gesellschaft für Naturforschung headquartered in Frankfurt (Main) is seeking the to fill the following position Researcher
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 14 days ago
experimental efforts, the project will uncover new physical mechanisms and lay the foundational principles—both qualitative and quantitative—for the rational design of strongly coupled molecular systems
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PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical
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participants, and mathematical / statistical modeling. Requirements for employment are a completed PhD degree in a relevant field (Linguistics, Cognitive Science, Psychology, Philosophy, or similar), near native
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
of this unique region, ensuring that it remains resilient in the face of both human pressures and climate change. We invite applications for four positions, under the umbrella topic “The dilemma of the Southern
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Work group: Gerics - Climate Service Center Area of research: Scientific / postdoctoral posts Starting date: 16.06.2025 Job description: PostDoc Position - Resilience enhancement through NBS
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Hospital Bonn, the position will be affiliated with a newly established junior research group focusing on early detection of Alzheimer's disease using multiple layers of omics data and statistical modeling
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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remains resilient in the face of both human pressures and climate change. We invite applications for four positions, under the umbrella topic “The dilemma of the Southern Ocean: Ecosystems, sustainability
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of climate model output by means of classical statistical and machine-learning methods #coordination of scientific workflows among project partners Your profile #Master's degree and PhD degree in meteorology