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applicants may select from multiple projects and should have experience in most of the following areas: ● Background in cell/molecular biology. ● Experience with mouse models. ● Experience with
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Environmental Engineering (BEE) invites applications for a short-term Postdoctoral Associate position in mathematical modeling and engineering simulation of food processes. The appointment is for five months, May
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757). When applied online to global ice-ocean simulations, this neural network substantially improves sea ice simulation
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the new FROSTIE lab, aimed at investigating icy planetary surface processes under simulated planetary conditions. The postdoctoral scholar will have the opportunity to research icy geomorphological
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transcranial electric and magnetic stimulation (TES and TMS) on an NIH-funded R01 project to develop and disseminate computational neuron models and their integration with TES and TMS electric field simulations
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will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications. Job
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model for communities worldwide facing similar 21st-century challenges. This is a fixed-term position for one year with the option to renew for a maximum of two years. UT Austin offers a competitive
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. Machine learning backgrounds in modeling human behavioral data, as well as experience with digital twin and large language models, are also accepted. Exposure to behavioral simulation work (such as driving
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Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). You will be part of a dynamic team working on multiple aspects of this problem. You will have a chance to learn about
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Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). You will be part of a dynamic team working on multiple aspects of this problem. You will have a chance to learn about