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Field
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National Research Service Award (NSRA) Institutional Research Training Grant Training Program, “Development of Medications for Substance Use Disorder”, awarded to the CDD 2022-2027. Accordingly, trainees
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. ● Computational skills is a plus (e.g., experience with computational modeling, AI models, familiarity with Python, etc) ● Familiarity with EEG, Brain-Computer Interfaces, biofeedback systems, or biomarkers
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, computational medicine, predictive analytics, big data, neuroscience, and related fields. AI + Life Sciences: Participate in research projects that are related to AI and the life sciences. These may include
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more
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to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more
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assessment, and ambulatory behavioral assessments to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories
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research backgrounds with a track record of publications in molecular and cellular biology, cancer research, hematopoietic stem and progenitor cell research, or neuroscience research. Research skills: Ideal
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to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more
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for scientific publications, and supervise graduate students. Job Description: Required Qualifications Education: PhD in Neuroscience, Computer Science, Bioengineering, Physiology or related fields. Preferred