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of multi-species communities using theoretical modeling approaches. The candidate will focus on developing a mathematical model (e.g., preferably individual-based models) from basic equations to investigate
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is seeking a qualified junior researcher or postdoctoral scientist responsible for the estimation of future fire risk with the use of the updated SPITFIRE model, based on future projections of
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to absorb and recover from human perturbations such as greenhouse gas emissions and land-use changes) based on principles of climate physics and (non-equilibrium) thermodynamics of the whole planet, including
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along different design options (reward payment paid out as loans or transfer to governments or as universal cash transfers to populations) Applied optimal taxation theory analysis to assess potential tax
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Agreement for the German State of Hesse. ** WissZeitVG = Wissenschaftszeitvertragsgesetz: Act on Fixed-Term Employment Contracts in Academia. *** Deutschlandticket = A ticket that allows for the use of local
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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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weekly working time of 40 hours per week. The position can be filled on a part-time basis. Background: Addressing climate change and biodiversity loss requires a deep understanding of global land-use
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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