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Job posting (PHY 09/2025) The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has a temporary vacancy for a PhD candidate in High Resolution Ecosystem Modeling and application
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Infrastructure? No Offer Description Summary A fully funded PhD position (four years) is available for an Early-Stage Researcher in the area of additive manufacturing, with an emphasis on thermomechanical modeling
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implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions
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nature (e.g. expressed by growth curves), can be derived from various markers, and can be obtained under various experimental conditions, these data form a huge analytical challenge. Furthermore
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI
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external link . You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development
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-plant-atmosphere relations applied to woody crops. Experience or knowledge on the use of crop models and remote sensing, particularly on the use of surface energy balance models to estimate ET Competence
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Job related to staff position within a Research Infrastructure? No Offer Description Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models
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knowledge gaps. The project involves both linear and nonlinear dynamics modelling and analysis, as well as experimental testing. An equivalent test structure will first be constructed in the vibration
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order to better understand, explain and advance society and environment we live in. Your role The PhD student will develop and apply computational multiscale models to investigate brain energy metabolism