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Field
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are invited for motivated scholars with a strong background in synaptic physiology and live imaging to join the laboratory of Pingyue Pan at the Department of Neuroscience and Cell Biology at Rutgers University
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learning, Computer vision, and Autonomous Robots is desired. The successful applicant will work on various projects on robotics and computer vision, controls, and machine learning and their security
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computing. The successful candidate will work with Dr. Dan Stowell and his research team. The position is set in the exciting, friendly, and interdisciplinary environment of the "Imaging & BioInformatics
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vision for the Department includes a major growth over the next five years, with a significant enhancement of the research challenge portfolio and a drive to enrich our undergraduate, postgraduate taught
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vision for the Department includes a major growth over the next five years, with a significant enhancement of the research challenge portfolio and a drive to enrich our undergraduate, postgraduate taught
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imaging and diagnostic technologies. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field (obtained by start
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tailored to dynamic, human-centered environments. They may also work with diverse signal modalities, including vision, speech, images, and physiological signals. Preferred Experience: The lab highly values
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, including live/dead staining and quantitative image analysis. Experience in mammalian cell culture and in vitro cytocompatibility assays. Proven ability to run a project independently and deliver results on a
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also work with diverse signal modalities, including vision, speech, images, and physiological signals. Preferred Experience: The lab highly values candidates with one or more of the following experiences
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
zebrafish embryogenesis. This research combines the power of the zebrafish embryo with RNA biochemistry, massively parallel reporter assays, next-generation sequencing, computational and imaging approaches