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year 2026-27 in addiction sciences. The successful candidate will conduct a research program involving human populations. Areas of research focus that are of interest include human behavioral
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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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education as a graduate of an ARRT approved Radiology and/or MR training program. Must be ARRT certified and have successful completion of MR Registry exam. Furthermore, they also need to have a Massachusetts
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partnerships with industry Experience with competency-based training and assessment methods Background in adult learning principles and vocational education Certification in relevant areas (e.g., ISPE, ASME-BPE
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requires significant experience in classical machine learning methods such as decision trees, gradient boosting machines, and both shallow and deep learning networks. A demonstrated ability to interface with
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using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological, genetic, and computational methods
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on the Boston Campus. The successful candidates will teach on-campus graduate-level courses within the Human Resources Management program, focusing on topics such as talent acquisition, organizational development
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. This is an opportunity for experienced professionals and educators to contribute to Northeastern University's Master of Science in Commerce and Economic Development (MS CED) program, housed within
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(Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly demonstrate this level of skill
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determinants of health. The focus of this role is on cognitive decline and dementia, with an emphasis on: Applying epidemiologic, econometric, and other methods to strengthen causal inference Working with