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preference for former and recent deep learning models (GNNs, Transformers, etc.). Strong programming ability (Python preferred) with hands-on skills in AI and Deep Learning frameworks (e.g., Pytorch
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models to study semantic relationships and changes in language during different periods of conflict collaboration with an interdisciplinary team performing statistical analyses active role in writing
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programming and software development. Familiarity with Python and statistical computing libraries, like PyTorch or JAX, etc., would be preferred. You are a motivational teacher, with an encouraging teaching
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qualifications: Strong experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop biomass Insight into global
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modelling tools are required. Robust modelling and programming abilities (e.g., Python) are essential prerequisites. Experience with VIC (or similar hydrologic models), GIS, and large-scale computing
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identifying high risk individuals and groups. The PDRA will translate conceptual frameworks into mathematical models of complex cross-scale disease dynamics across different epidemiological scenarios. A key
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of differing background aerosol composition and to relate these distributions to in-cloud turbulence and cloud brightening. The Doppler lidars at the pier and on Mt. Soledad characterized sub cloud TKE profiles
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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the contribution of different medial temporal lobe areas such as CA1, CA3, DG, MEC, LEC, PrC, POR to memory in health, aging and in animal models of amnesia. Memory for time, space and episodes as
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pulse propagation, the material response, and other aspects of our experiments. Coding in Python Assisting with the filing and generation of intellectual property and technology transfer Assisting in