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suicidal ideation in daily life. The postdoc will gain experience in clinical research methods, with specific involvement in projects focused on interpersonal functioning, personality pathology, and suicide
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candidate would work on projects in methods development for coupled electron-nuclear dynamics based on the exact factorization approach and time-dependent density functional theory. Projects involve theory
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candidate would work on projects in methods development for coupled electron-nuclear dynamics based on the exact factorization approach and time-dependent density functional theory. Projects involve theory
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candidate would work on projects in methods development for coupled electron-nuclear dynamics based on the exact factorization approach and time-dependent density functional theory. Projects involve theory
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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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. 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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environmental and pharmacoepidemiological research methods and programming skills for large relational databases. This is a two year position that will be supported by an active NIH funding. The successful
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Associate who specializes in quantitative research methods and one Associate with qualitative expertise. The Associate position will be awarded for a one-year period beginning in September 2026; there is a
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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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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