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, and clinical information with imaging data. Explore and implement Generative AI approaches (e.g., data augmentation, reconstruction, simulation). Investigate and apply Vision-Language models for linking
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and downstream processing Ideally familiarity with process simulation software such as Aspen Plus or DWSIM Ideally familiarity with 3D printing and other rapid prototyping techniques Strong teamwork and
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potassium channels Simulation of electrophysiology experiments Please indicate in your application which of the above-listed projects is most intriguing for you. Your profile Successful candidates have strong
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Electrodynamics General Circulation Model (TIE-GCM) is a global 3D numerical model that simulates the coupled ionosphere-thermosphere system from ∼97 to ∼600 km height. It self-consistently solves the fully coupled
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
for enzyme design Permeation and selectivity mechanisms in potassium channels Simulation of electrophysiology experiments Please indicate in your application which of the above listed projects is most
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or theoretical simulations Characterization of the magnetic modes in iron oxide nanoparticles using neutron spectroscopy Synthesis and physicochemical characterization of iron and metal oxide nanoparticles
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jet simulations. The postdoc will have the opportunity to join the KM3NeT neutrino collaboration as full members and participate in neutrino telescope activities, including observations, data
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simulation, with strong skills in mathematics Highly proficient in Matlab/Simulink for system modelling Experience with (stationary) battery storage systems is required Prior exposure to HIL systems is a
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detailed curriculum vitae (please without a photo) A copy of your degree certificate/transcript of records (German possible) Any other supporting documents, such as certificates, as relevant to your
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these changes, identify their causes and describe their impacts on biodiversity and ecosystem services. To do this we use a combination of diverse methods, from empirical research to remote sensing and simulation