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outcomes. The individual will be expected to develop stimulation strategies and testing algorithms, write code, and develop software. They will do extensive validation and testing, under the supervision
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across time and contexts. Job Description: You will develop and apply mathematical models and machine learning algorithms to analyze the structure and evolution of knowledge systems across different
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validate signal processing algorithms and stimulation strategies using electrophysiological and behavioral data. Develop GUIs, psychophysical test protocols, and objective outcome measures (e.g., ECAP, ABR
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job In this role, the postdoc will work on the genetic design and characterization of microbial systems aimed at controlling
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outcomes ●casual representation learning for real-world data ● deep learning interpretation, fairness and robustness ●Regularly conduct computational experiments to execute algorithms on various health and
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appointees. Qualifications Required Qualifications: Ph.D. in genetics, plant biology or related discipline; extensive experience is required in molecular biological and biochemical methods; demonstrated
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of junior lab members. Qualifications Required Qualifications: PhD, experience with enzyme assays, HPLC, LCMS, and bacterial genetics About the Department Our mission is to conduct fundamental research and
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of colleagues from diverse communities and cultures. Strong familiarity with the use of FIJI and Matlab in data analysis. About the Department The Department of Genetics, Cell Biology, and Development
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collaboratively with other researchers and practitioners. Preferred Preferred expertise in integrated pest management, insect resistance, modeling, and population genetics Experience in rearing and handling