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policy and/or health/health care policy research relevant to addictive behaviors; assessment or intervention using mobile, wireless and/or wearable technology; adaptive intervention designs; cognitive
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animals. Preferred Qualifications Knowledge of mathematical modeling via optimization with conventional and machine learning approaches. Experience with machine learning algorithms. Demonstrated ability
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. • Maintain knowledge of all relevant study procedures and expectations (e.g., from IRB, funder, PI, and others). • Proactively identify and resolve instances of conflicting instructions, information
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of antibody- and non-antibody-based cancer therapies. (4) Improve cancer diagnosis and treatment by combining basic tumor biology with preclinical knowledge and clinical needs. Information on being a postdoc
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to whether daily driving behavior reflects underlying neuropathological AD and is associated with prevalent and incident cognitive impairment. The successful candidate will join a dynamic, collaborative, and
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studies in the field to analyze biomarker measures, neuroimaging data, and cognitive assessments. The goal is to comprehensively understand disease progression and the factors influencing it. Required
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imaging, genetics, and cognitive assessments. We now seek a postdoctoral research associate with strong statistical skills to analyze high fidelity data relating to whether daily driving behavior reflects
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, educational attainment, level of social engagement, and medical comorbidities. Statistical models that link biomarker levels with cognitive and clinical measures can transform a biomarker test into a test for
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techniques such as network analyses, Multi-Variate Pattern Analysis, or hyperscanning. Excellent publication record with demonstrated interest in developmental cognitive neuroscience and will combine a
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Job Description Position Summary This position is for a Postdoctoral Research Scholar to work on research on cognitive changes in aging, the cognitive neuroscience of aging, personally and socio