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focuses on developing innovative technologies to enable in vivo cell engineering (e.g., in vivo CAR T cells) for immunotherapies against cancer, autoimmune disorders, and infectious diseases. The successful
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measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
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is to be the “EO innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovations such as AI, machine learning, quantum computing, edge computing, metamaterials and
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initiative, aiming to recruit 100 new tenure-system faculty to strengthen its research enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan
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(e.g. Python, Julia), You have an interest in, or experience with, machine learning approaches for scientific data analysis. You have a strong interest in interdisciplinary research and enjoy
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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background in developmental neurobiology, cannabinoid pharmacology, and in vivo calcium imaging (fiber photometry). You should have experience or a strong desire to learn ex vivo electrophysiology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
any type of microscopy and imaging techniques is a plus. Willingness to learn new in vivo and in vitro techniques, such as performing animal surgeries, intra-muscular, intra-articular and intravenous
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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The Department of Biostatistics at the University of Washington has an outstanding opportunity for a postdoctoral scholar. The postdoctoral scholar will develop statistical machine learning and artificial