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biological scales. Project background Cells are mechanically heterogeneous systems composed of proteins, membranes, and compartments with distinct physical properties. In parallel, they continuously sense and
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, information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking to establish new research themes. This post will be affiliated with the computational engineering
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, information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking to establish new research themes. This post will be affiliated with the computational engineering
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, Statistics, Artificial Intelligence, Parallel and Distributed Systems, Cryptography, Computer and Network Security, Computer Vision, Image Processing, Natural Language Processing. Job Requirement Candidates
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linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 13 hours ago
. Description: Theoretical research and computer simulation are carried out with emphasis on observations of space plasmas. Specific interest areas include (1) nonlinear phenomena in unstable collisionless
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system. We have a variety of ongoing projects that leverage high throughput reporter assays (e.g., Massively Parallel Reporter Assays) to understand gene regulation in the living brain. We apply
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massively parallel sequencing assays of DNA and RNA from patient tumor samples. Data from these environments are used to advance research on both adult and pediatric cancers, improve our understanding
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sources and to produce high-value metabolites that are difficult or impossible to obtain with conventional production hosts. In parallel, we design and build advanced yeast cell factories. By combining
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ongoing projects that leverage high throughput reporter assays (e.g., Massively Parallel Reporter Assays) to understand gene regulation in the living brain. We apply these approaches to understand