470 algorithm-development-"Multiple"-"Prof"-"Prof"-"SUNY"-"Simons-Foundation" positions
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in the following areas: Computer Science, with emphasis in software development, algorithms, data structures, programming languages, and operating systems; and/or Cyber Defense, with primary emphasis
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in the following areas: Computer Science, with emphasis in software development, algorithms, data structures, programming languages, and operating systems; and/or Cyber Defense, with primary emphasis
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to programming, data structures, algorithms, networking, database, and cybersecurity. - Utilize inclusive pedagogies and course design to effectively promote student learning. - Engage in curriculum development
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functional imaging to better understand disease pathophysiology, to discover new therapeutic targets, and to develop novel diagnostic algorithms that can improve patient care. Specific areas of research
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. May develop, adapt, and implement new research techniques and protocols
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projects. Desired: Doctoral Degree in Bioengineering, immunology, systems biology Experience using open source packages and adapting or developing new algorithms to analyze single-cell transcriptomics and
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. Responsibilities Design, implement, and assess advanced underwater acoustic modeling techniques and algorithm development across various disciplines such as signal processing, statistical inference, propagation
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large quantities of data to gain a greater understanding of our systems and develop data analytics and artificial intelligence algorithms. You will be actively engaged in the research and development
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detectors (Partial) automation of detector characterization for more efficient analysis Algorithm development: Development of a correction method based on information field theory for atmospheric image