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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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in animal models contribute to behavior and disease. The Ideal Candidate will have: A PhD in neuroscience or related discipline Prior experience in studying neural circuits Expertise with at least some
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% to supervising and assisting PhD students. Qualifications • Candidates with a Ph.D. in any area of cognitive neuroscience broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are
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cell reprogramming. Required Qualifications: · PhD (or equivalent) in stem cell biology, developmental biology, molecular biology, neuroscience, or a related field. · Demonstrated expertise in cell
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. · Identifying roadblocks to hair cell regeneration by manipulating developmental signaling pathways and screening compounds that promote supporting cell reprogramming. Required Qualifications: · PhD
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students. Qualifications: Required: PhD in Computer Science, AI, Data Science, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs
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the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
outputs are biologically and clinically meaningful. Contribute to PI-led grant applications and mentor undergraduate/graduate students. Qualifications: Required: PhD in Computer Science, AI, Data Science
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at the University of Arizona and relocations services, please click here . Duties & Responsibilities Computational analysis and modeling of neural data. Write up manuscripts and generate figures
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of Arizona's Department of Psychology invites you to apply to the role of Postdoctoral Research Associate I. This position will develop and refine computational approaches, analyses, and neural circuit models