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proof that all requirements have been fulfilled before their position start date. Expertise in immunological assays, molecular biology, gene transfer methods, and animal models is required. City: New
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, the associate will support mixed methods data collection and analysis (surveys, interviews, and community-based systems dynamics modeling), coordinate community engagement activities, manage relationships with
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Proteomics, Degrader Development, Drug Discovery, Proteomics, PTMs, Targeted Protein Degradation (TPD). Design, develop and perform experimental methods for various projects. Develop, write and publish
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on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches for coupling functional
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use and mental health. In this role, the associate will support mixed methods data collection and analysis (surveys, interviews, and community-based systems dynamics modeling), coordinate community
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reinforced concrete structures, using mechanical, acoustic, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and
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candidate is energetic, collegial, detail oriented and organized. Preferred Qualifications Experience in biochemical and molecular biology methods to study blood coagulation factors in a disease-focused
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studies, comparative effectiveness research, pharmacoepidemiologic methods, clinical epidemiology, and health services research. They regularly collaborate with researchers across campus, across the US, and
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focus on the treatment needs of individuals with chronic pain and opioid, tobacco, and other substance use disorders. Mentorship for developing research ideas, designs, and methods, conducting clinical
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of statistical concepts and methods. Proficiency in at least one programing language (e.g., R, SAS, STATA). Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data