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Field
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-aware multi-modal deep learning (DL) methods. At Argonne, we are developing physics-aware DL models for scientific data analysis, autonomous experiments and instrument tuning. By incorporating prior
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Postdoctoral Research Associate (Genomics, Data Integration, Deep Learning, AI) - Radiation Oncology
Job Description Position Summary We invite talented post-doctoral candidates with an interest in cancer genomics, multi-omic data analysis, algorithm design, and/or deep learning to apply for a
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Postdoctoral Research Associate to conduct research on root and shoot phenomics with applications of AI and deep learning towards better understanding of plant genes and phenotypes that are foundational
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. PREFERRED QUALIFICATIONS: · Skill collecting and analyzing human behavioral and brain imaging data. · Familiarity with deep learning frameworks such as PyTorch and TensorFlow · Track record
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., deep learning, generative modeling, probabilistic modeling, embedding techniques). Domain knowledge related to soft materials or polymer physics is also of interest. Princeton University is committed
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networks and deep learning methodologies for biomedical data science. Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) and maintaining computational clusters. Excellent
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of probabilities and statistics, probabilistic modeling, Bayesian network, and deep programming knowledge of Python, R, is required. Deep learning related experience is a plus. The candidate needs to demonstrate
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-driven approaches to include statistical approaches for scientific data analysis and/or the latest machine learning approaches, including deep learning models. Experience working with DOE National
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development (in C++/C/Fortran) and parallel scientific computing. Knowledge of deep machine learning (using TensorFlow, PyTorch, etc.) for multi-fidelity modeling, regression tasks, management and analysis
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one of the following domains are highly desirable: deep learning models on natural language processing or computer vision, advanced analysis of fMRI using encoding or decoding models, computational