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computational modelling and non-invasive brain stimulation. The focus of this project will be on advanced versions of transcranial alternating current stimulation (tACS), targeting multiple brain areas in
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this context, we are seeking to attract talented young researchers willing to develop and apply new computational models/methods based on multi-omics data integration in relation to cardiovascular, immunerelated
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measured depends on clinical decisions that vary between hospitals, physicians, and patient states. As a result, previous models have struggled to generalise beyond the hospital they were trained on. We
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of the SU(N) Fermi-Hubbard model and its low-temperature phases at the microscopic level. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1003
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an important entry point for data and models in the Metropolitan Region of Amsterdam. Where to apply Website https://www.academictransfer.com/en/jobs/357691/postdoc-micromacro-modelling
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self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed to irrigate
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facilities for model making and digital print to support architectural education. You will be a member of Technical Services Team providing first and second line support to students and staff. You will make a
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how alterations in brainstem circuits contribute to the onset and progression of Alzheimer’s disease. Murine translational models will be used. Electrophysiology and monosynaptic viral tracing will be
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business problem scoping to deployment and monitoring of production-grade models-with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
traditional predictive attempts and limits the availability of training data for high-resolution atmospheric and hydrological models. This limitation is compounded by the fact that many atmospheric reanalysis