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Field
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, contrastive learning, or representation learning approaches Experience with high-performance computing, cloud platforms, or distributed training Prior experience working in a collaborative biomedical
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microscopy, -omics technologies, and high-performance computing. In addition, Dr. Topp is spearheading the development of a new X-ray imaging facility with focus on non-destructive, high-resolution
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Time (LSST). The Fellow will honor the legacy of Dr. Vera C. Rubin by conducting cutting-edge research using state-of-the-art computational infrastructure—specifically dedicated high-performance GPU
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conducting and analyzing molecular dynamics simulations Experience using high-performance computing platforms Experience developing neural network models Experience using AI-assisted coding tools for
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in collaborative research with experimental or field-based virologists. Possess strong knowledge in Linux/Unix operating systems and high-performance computing clusters. Have in-depth knowledge of
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simulating dynamical quantum systems. experience with cluster-based simulation or high-performance computing. Personal qualities We are looking for applicants who: are able to work autonomously
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manuscripts, and conference presentations Desired Qualifications* Preferred candidates will have experience in one or more of the following areas: High volume datasets and High throughput computing
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. conduct theoretical and experimental performance analyses of the proposed algorithms. publish research results in high-quality venues (conferences and journals) and present them in national and
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, exoskeletons and prostheses, leveraging extensive datasets, and harnessing high-performance computing (HPC) systems with dedicated research software engineers and access to NVIDIA systems engineers
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discipline Strong experience with high-dimensional biological data analysis Proficiency in R and/or Python for statistical computing and data analysis Solid foundation in statistics and data modeling