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Job related to staff position within a Research Infrastructure? No Offer Description Work group: HIPOLE: Helmholtz-Institute for Polymers in Energy Applications Jena (HI-POLE) Area of research
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into existing high-performance frameworks, the fast prototyping of new ideas in individual code, an interest in the entire simulation pipeline: starting from simple algorithms to state-of-the-art applications in
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the model results Develop further modelling approaches to simulate the dynamics of particular species and ecosystem services (e.g. empirical models for crop yields) Closely collaborate with social scientists
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, including bioprinting Combining our expertise in Functional & Interactive Polymers and Advanced Macromolecular Materials for Medicine, we are developing functional and biological microgels that can provide
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Catalysts for the Chemical Utilization of Anthropogenic Carbon Dioxide Your tasks The long-term vision of MemCat is to give access to green e-Polymers by providing carbon-negative plastic precursors using
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characterization (e.g., XRD, SEM/EDX, transport measurements) Modeling and simulation of thermoelectric devices (e.g., COMSOL, ANSYS) Microfabrication and evaluation of micro thermoelectric devices Your profile
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both empirical and simulated genetic data. These metrics will be applied to a unique large-scale dataset on plant genetic diversity in grasslands and forests. The position is part of the collaborative
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
testing models using data from direct numerical simulations and experiments. Investigating whether machine learning can identify efficient control strategies for turbulent flows. Studying
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Job description: DESY The CMS Quantum Computing group develops generative machine learning models for detector simulations, specifically the simulation of showers in calorimeters: Proof-of-principle
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for integrating expert data. Collaboration in the JOSHUA project to incorporate interdisciplinary, domain-specific knowledge into AI-supported crisis early warning and scenario simulation. Participation in PRIF’s