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Field
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Computer Science, Data Science, Environmental Engineering, or a related field. Experience in deep learning, predictive modeling, and AI-driven decision-support tools. Strong programming skills in Python, TensorFlow
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calculations Materials modeling/electronic structure calculations Machine Learning/Deep Learning techniques. Education and Experience: A PhD in physics, astronomy, or a closely related field must be completed
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tools that help to solve an environmental challenge Growing as a scholar (20%) Working closely with our team of data scientists and software engineers and finding ways to both learn from their approaches
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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware
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signal processing and cloud microphysics and dynamics. Strong programming abilities (like Python), statistical knowledge, machine learning expertise, and data visualization skills are preferred. Brief
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in one or more of the following areas: computational biology/bioinformatics, biomedical informatics, deep learning/machine learning, data mining, biostatistics, or a closely related area. Proficiency
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theory and applications, instrumentation and signal processing and cloud microphysics and dynamics. Strong programming abilities (like Python), statistical knowledge, machine learning expertise, and data
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States of America [map ] Appl Deadline: (posted 2025/01/10, listed until 2025/07/10) Position Description: Position Description Multiphysics, Machine Learning, and Uncertainty Quantification Postdoctoral Positions Los
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of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
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., deep learning and statistical modeling). You have knowledge of molecular genetics and genomics. You have a very good command of English (both spoken and written). You have the proven ability to conduct