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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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, sustainability, and computational social choice. Applicants should be recent PhD graduates in computer science, mathematics, statistics, economics, information science, operations research, or a related field
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Open Date Posting Close Date Qualifications Minimum Education and Experience PhD in atmospheric science, environmental science, environmental chemistry or related fields. Certifications/Licenses Required
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other substance use disorders. Mentorship for developing research ideas, designs, and methods, conducting clinical trials, and writing grants will be provided. Clinical opportunities and supervision
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Significant experience with methods for extraction and analysis of environmental plastics is required including FTIR (ATR- and FTIR-microscopy), Raman spectroscopy, and/or Pyrolysis GC-MS. Experience conducting
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pertinent federal, state and Rutgers' regulations, laws and policies as they presently exist and as they change or are modified. Minimum Education and Experience: PhD degree in biomedical engineering
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Minimum Education and Experience Qualified candidate must hold a PhD degree. Candidates in ABD (all but degree) status will also be considered. Certifications/Licenses Required Knowledge, Skills, and
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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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research in addictions and trauma treatment including: (1) co design methods and design, (2) biostatistics, (3) research design, management, and ethics, (4) scientific writing and oral presentation, and (5