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- Zintellect
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Field
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culture, live-cell and immunofluorescence microscopy, molecular biology, RNA seq library preparation, etc. Designs, optimizes and executes experiments to answer questions related to research projects, and
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, independent research, and the ability to work professionally with minimal supervision and direction ● Strong computational background ● Methodological expertise in one or more of: numerical optimization
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AI-modeling and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge of interpretability methods to ensure ML outputs are meaningful in scientific
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 6 hours ago
, and C/C++ Experience developing machine learning algorithms Strong mathematical foundation specifically in linear algebra, differential equations, and optimization Solid communication and teamwork
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. Proficiency in Python programming and major ML/DL frameworks (e.g., PyTorch, TensorFlow). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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(training provided). Design and optimize protocols for new biophysical assays to address complex cancer biology questions.– Example project: Science, 2023 Writing and submitting NIH training grants, including
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, safety, and compliance. Perform preventive maintenance on laboratory equipment to keep them in optimal working condition. Conduct experiments related to identifying metabolites in plant and biological
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run