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the selection procedure. (for details: national knowledge security guidelines ) Where to apply Website https://www.academictransfer.com/en/jobs/357945/postdoc-position-in-singular-le… Requirements Additional
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record in geospatial AI as evidenced by publications Expertise with development of AI models Hands-on programming expertise Explainable, ethical AI Knowledge about vision transformers, self-supervised
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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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Job related to staff position within a Research Infrastructure? No Offer Description Challenge: Unravel storm–lake coupling at fine scales. Change: Combine unique observations and cutting edge models
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of Radiology at Columbia University has research teams applying advanced imaging AI and clinical data science, as well as quantitative disease modeling to address pressing challenges in health outcomes and
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related field from a recognised university. Knowledge and experience in modelling and simulation of microgrids or power systems using ETAP and/or MATLAB/Simulink. Experience in distributed energy resources
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in international, interdisciplinary settings. Very good self organization. Desirable Skills Very good knowledge of fluid–structure interaction (FSI). Good experience with digital twins, model updating
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Skills and Knowledge: Not Applicable Responsibilities: Models work varying sessions, as scheduled by Model Coordinator Models will pose for sessions as scheduled and as directed by faculty Models must have
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evaluation Knowledge of numerical simulation, for example with land surface or hydrological models Genuine interest in data science and earth sciences Good organizational skills and ability to work both
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temporal scales from seconds to hours and beyond. The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between