25 parallel-and-distributed-computing Postdoctoral positions at University of Washington
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them on massively parallel computers ? CPU, GPU, and APU systems. The successful candidate will work with Prof. Uri Shumlak and Prof. Jingwei Hu and contribute to a project that combines novel low-rank
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Position Summary The GrandPre group in the Department of Physics at WashU in St. Louis invites applications for a theoretical/computational postdoctoral position, with an anticipated start date
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program employs several methods to study driving including a standardized road test, self-report driving habits, and naturalistic driving behavior using the Driving Real-world In-Vehicle Evaluation System
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the NeuroGenomics and Informatics Center at WashU. We are dedicated to generating and analyzing whole-genome sequencing data along with high-throughput, multi-dimensional 'omics' data to advance our understanding
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or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in publications. Adheres to all applicable university policies
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or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in publications. Collegial conduct towards co-trainees, staff
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research records Engages in open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure
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discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings or techniques privately or in
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records. Engages in open and timely discussion with their mentor regarding possession or distribution of material, reagents, or records belonging to their laboratory and any proposed disclosure of findings
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encouraged to apply: Biologists with mathematical, computational, or programming experience. Prior experience with mouse models, motivated to learn new techniques including advanced optical imaging