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origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its
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Computing Group Context of the position The Trustworthy Computing Group in the Department of Electrical and Computer Engineering (ECE) at the University of Delaware (UD) invites applications for a post
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extensive field data collection, including real-time monitoring of the physical and biochemical properties of the subsurface environment at the study site. This data underpins the development of advanced
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aquaculture installments on juvenile fish and motile invertebrate communities. Collect abiotic data including but not limited to temperature, salinity, substrate, site morphology, wind patterns Analyze
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technical and scientific development of these facilities. The candidate will have the opportunity to work with data and Monte Carlo simulations from both projects. They may also contribute to the development
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commensurate with current NIH NRSA stipend levels. To apply, applicants should submit a statement of interest, C.V., and contact information for three professional references. MAJOR RESPONSIBILITIES: Conduct
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of computer simulations of system related to different replication stages of the HIV virus. Preference will be given to applications with expertise in 1) protein dynamics; 2) molecular dynamics simulations; and
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; writing sample of article or chapter length; and contact information for 3 references. Letters of recommendation will be requested at time of application submission. Applications will be reviewed starting
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or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs
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with the PIs and team members. Responsible for data management, analysis, and presentation of results to industrial partners and at relevant scientific conferences. Qualifications: A Ph.D. in a related