68 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" "Dip" "Dip" Fellowship positions at Northeastern University in United States
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, a7nAChR, a9* nAChR, GIRK1/2, GIRK1/4etc.). Key initial responsibilities will include biochemical and ADME/PK studies and data analysis, SAR hypothesis generation, empirical and structure-based target design
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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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the Institute for Mechanobiology (IfM) in Boston, MA (see https://mechanobiology.northeastern.edu/our-faculty for list of the IfM core faculty). This position has an initial 2-year appointment, renewable
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equity for youth of color and their families using community engaged practices. The CHANGE lab, which is housed in the IHESJR, has areas of focus ranging across individual, community, and structural levels
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to bring meaningful improvement to patients’ lives. Responsibilities The Medical Affairs fellowship at Zevra Therapeutics provides fellows with a comprehensive introduction to the structure, responsibilities
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https://hr.northeastern.edu/benefits/ for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color
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fellows with a comprehensive introduction to the structure, responsibilities, and impact of a Medical Affairs department, both within the organization and in its interactions with the broader healthcare
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, government officials, journalists/media, etc. Comfortable navigating complex internal processes and structures. Respect for diversity and the importance of interdisciplinary teams. Entrepreneurial mindset
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fellows with a comprehensive introduction to the structure, responsibilities, and impact of a Medical Affairs department, both within the organization and in its interactions with the broader healthcare
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factors. Though not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and