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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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profile Completed PhD degree in mathematical modeling preferably in the field of evolutionary ecology. Experience with developing mathematical models preferably in the field of evolutionary ecology (e.g
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to the research and application context in teacher education Excellent English language skills We Offer: An excellent research environment for linking basic and applied research, located in central Tuebingen
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teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
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master's degree (or equivalent diploma) and a PhD in meteorology, oceanography, or a related natural or geoscientific discipline with significant physical and mathematical components. It is essential
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within the biogeochemical ocean model ERGOM (https://ergom.net ). The candidate will utilize the Code Generation Tool (CGT, https://ergom.net/code-generation-tool.html ) and actively participate in ongoing
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scientifically curious researcher who is passionate about understanding the environment. Applicants must have a university degree (master/diploma) and a PhD in meteorology, oceanography or a related natural or