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, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI/ML methods. Prior experience with analyzing
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Services Research, Statistics/Biostatistics, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI
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QUALIFICATIONS AND EDUCATION (List all desired skills/qualifications) Knowledge of evolutionary theory and use of genomic data to infer epidemic patterns Experience using next-generation sequencing to study within
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) and spatial data on mass transit infrastructure projects. Strong analytical and statistical skills, including knowledge about causal inference methods. Excellent written communication skills with
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, or related discipline; a proven track record of publications; previous experience with yeast genetics and RNA biology and bio-informatic analysis, and a proven ability to work independently and to mentor
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-testing of tracks and courses and examining the efficacy and effectiveness of the DoDVLS within community-based settings. Key activities for the Post-Doctoral Researcher – DoDVLS include conceptualizing and
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research proposals as principal investigator; submits and administers grants; obtains portion of salary and research support derived from grant funding; tracks grant submissions to national and local
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of original research proposals as principal investigator; submits and administers grants; obtains portion of salary and research support derived from grant funding; tracks grant submissions to national and
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(per position specifications): PharmD or PhD in pharmacology, statistics, engineering, or related field; specific training, experiences, and a demonstrated track record in applying PK/PD modeling and
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completed a Ph.D. in experimental particle physics or be on track to complete their Ph.D. by the time of appointment. Required Qualifications Demonstrated independence and exceptional ability in research