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(fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations
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computational biophysics Machine learning and data analysis for biological systems Biomedical imaging and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences
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and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences Physics and AI: Physics-Informed Machine Learning (PIML): Physics-informed neural networks
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) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel
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prioritize candidates who specialize in Artificial Intelligence (AI) and Machine Learning (ML), including but not limited to areas such as deep learning, natural language processing, computer vision
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undergraduate students. They will also benefit from the support of established Core Bioinformatics and Sequencing Platforms and High-Performance Computing facilities. Applicants for the Research Assistant
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data; bioinformatics; computational sciences; cybersecurity; human-data interaction; information and communication technologies for development; machine learning, natural language processing; software
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environment that includes collaboration with fellow post-doctoral associates, senior and junior scientists, and undergraduate students. They will also benefit from the support of established Core Bioinformatics
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students. They will also benefit from the support of established Core Bioinformatics and Sequencing Platforms and High-Performance Computing facilities. Applicants for the Research Assistant position must
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individual development plans that incorporate the researcher’s career and training goals and lab’s research goals. They will also benefit from the support of established Core Bioinformatics and Sequencing