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Field
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NSF funded projects, advancing the knowledge about distributed systems, developing novel algorithms for distributed resource and workload management, simulating and emulating systems, as
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project. The project goal is to develop bacterial sensors with the ability to communicate with novel sentinel plants as a readout for changes in environmental conditions or changes in the rhizosphere
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using jets and heavy-flavor probes. The candidate will also participate in algorithm and software development for the LHCb trigger system as part of the Real Time Analysis Project. A Ph.D. in experimental
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Position Description A postdoctoral position studying “algorithms in nature” is available in Dr. Saket Navlakha's research group at the Simon's Center for Quantitative Biology at Cold Spring Harbor
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cloud computing tools and big data workflows A track record of completed research projects Well-written, peer-reviewed papers are expected Interest in using EHR metadata, wearable sensors, and process
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program of independent research with the primary goal of improving the algorithm codes used to characterize the Earth’s gravitational field. Duties will include specialized scientific/numerical analysis
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health and disease, and experience in the algorithms used to analyze these datasets. The appointee will ultimately create an independent research effort with dedicated extramural funding that complements
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the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D urban structure
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algorithms for mathematical reasoning. Join us at Caltech and contribute to pioneering research that pushes the boundaries of AI and mathematical reasoning. We look forward to receiving your application. We
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environments, and communicate fluently in English. Ability to multi-task and work cooperatively with others. Preferred Qualifications: Skills in the setup, instrumentation, and maintenance of sensors and sensor