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thermal signals with high sensitivity and nanoscale spatial resolution, opening access to biophysical structure and dynamics that are difficult or impossible to reach with conventional techniques. The
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computation, involving the analysis of feedback controllers in systems and synthetic biology, the analysis of algorithms, and merging of ML and mechanistic approaches to deal with context effects
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multidisciplinary audiences. QUALIFICATIONS Required: Doctoral degree (PhD) in Epidemiology, Environmental Health, Biostatistics, Child Development, Public Health, or a closely related discipline Demonstrated
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QUALIFICATIONS Knowledge of qualitative and mixed-method research design and analysis, research ethics and IRB procedures, and disability, rehabilitation, or physical activity research. Ability to
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in cortical circuits mediating defensive responding. Responsibilities will include rodent colony management, stereotaxic surgery, behavior testing, fiber photometry protocols and data analysis, brain
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programs. MINIMUM QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling
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laboratory management and training of graduate students. · Other duties as assigned. Qualifications Applicants should have a PhD degree in Immunology, Nutritional sciences, Biochemistry, Microbiology
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sensory testing, and isokinetic dynamometry. Develop and maintain analysis pipelines and ensure data quality across sessions. Prepare manuscripts, conference abstracts, and grant applications as first
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on AI-powered data analysis to advance hypothesis-driven research related to addiction. Computational analysis of previously collected data can increase the speed and efficiency of life sciences
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qualification of battery components. The role combines hands-on experimental mechanics with rigorous simulation and data analysis and benefits from complementary expertise in scientific machine learning and