69 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at Rutgers University
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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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- Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience A PhD degree in Computer
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. The successful applicant will work in the areas of causal inference and statistical learning with high-dimensional observational data, including development of statistical and computational methods, and
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Internal Number: 260781 Minimum Education and Experience: Candidate must have a Ph.D. degree in an area relevant to climatology, geoscience, climate change, natural hazards, impact analysis, and/or numerical
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Program (SERDP) (https://serdp-estcp.mil/page/415323e5-04d5-4783-ad11-5201a59f456d ). The project is a collaboration between Rutgers, Temple, and CDM Smith. The initial appointment will be for 12 months
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-based treatments in the community. The training program is designed to impart the skills necessary for submitting successful career development awards. The emphasis on translational clinical research will
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epigenome dynamics in immune responses. By using genetic, genomic and biochemical methods, the individual will identify/analyze/characterize molecular determinants for chromatin looping in plants
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of areas including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods
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interaction methods like the split ubiquitin yeast-two hybrid method and SIM microscopy training will be needed. The individual will report directly to the laboratory Principle Investigator (PI). The position
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to shape a desired area of focus within the applied climatology framework. Successful candidates will be involved in field sampling, numerical/statistical modeling of hazards/impacts, and outreach to local