65 computer-science-tenure-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Duke University
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work at the intersection of systems neuroscience, neurophysiology, imaging, and computational analysis to uncover how motor cortical circuits support learning and memory. Be You. You will contribute
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, molecular biology, tumor immunology, therapeutic resistance, or functional model systems are strongly encouraged to apply. Prior experience in epigenetics, genomics, or computational biology is a plus. This
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processes. Ongoing projects combine molecular biology, neurobiology, biochemistry, and computational approaches to address fundamental questions in RNA regulation. Minimum Requirements: Min Degree
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, providing international and regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. We are recruiting a creative, rigorous Postdoctoral
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, that’s just fine! Our lab is a training environment; we are primarily interested in recruiting people who love science and are willing to put in the work to achieve their goals. Minimum Requirements: Ph.D
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, innovation, and scientific excellence. What You'll Bring: Required Qualifications MD, PhD, or equivalent doctoral degree in Clinical Neurophysiology, Epilepsy, Neuroscience, Neurology, Biomedical Sciences
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, and apply Crainbow mouse models that express multiple HER2 isoforms — wild-type (WT), D16, and p95 which are essential reagents for the laboratory’s DoD funded program. Minimum Requirements: Ph.D
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science methods application and dissemination Demonstrated proficiency through previous developed analytical codes with R Language for Statistical computing, and qualitative analysis using NVivo
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may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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application to quantum theory and information science. Other application areas of interest include robust parameter estimation and performance bounds under model misspecification, integrated sensing and