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connecting molecular dynamics to cellular or tissue-scale processes Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation
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challenging and impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. We have a collaborative environment focusing on designing
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Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving
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., NumPy, Pandas, SciPy, scikit-learn, PyTorch, TensorFlow) Experience developing and deploying machine learning or deep learning models Experience building and maintaining data processing pipelines
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foundation in machine learning, deep learning, or computer vision Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow Demonstrated research productivity (e.g., peer-reviewed
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, electrical engineering, mechatronics, robotics, computer engineering, computer science, or a closely related discipline. Working knowledge of machine learning and deep learning models, including
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impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. You will work in a collaborative research and development environment
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Background in REST API development and database management (PostgreSQL, MySQL) Proficiency with HPC environments and job schedulers (e.g., SLURM) Experience with deep learning frameworks and neural network
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machine learning, deep learning, foundation models, agentic AI systems, graph neural networks, and knowledge‑graph–based reasoning. Familiarity with integrating AI into scientific workflows at scale
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center workload trends, Deep Learning (DL) research, analyst reports, competitive landscape, and token economics Cluster Management and Optimization: Oversee the installation, configuration, and management