41 genetic-algorithm-computer-"U.S"-"INSAIT---The-Institute-for-Computer-Science" positions
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Computer Science, Engineering Education, or a closely related field • Demonstrated ability to teach at the college level • Knowledge of algorithmic thinking and basic computational problem-solving • Excellent
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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
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of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Key Responsibilities: Develop and implement advanced algorithms for analyzing calcium
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Abrahao (NYU Shanghai) and João Sedoc (NYU Stern). Research Focus Areas Our research encompasses topics in DL and AI, including but not limited to: Deep Learning Algorithms and Paradigms Generative Models
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bioinformatics, computational biology, and clinical genomics to assist in identifying, evaluating, and incorporating relevant algorithms and software. Educates and mentors colleagues, investigators, fellows, and
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with U.S. government agencies, municipal governments, researchers, and a dedicated team of research analysts, data scientists, and staff, to support research projects led by the EE Lab and Faculty
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algorithm sensing, navigation and control of robot systems, including mobile robots and robot arms/manipulators; designing and implementing algorithms for machine learning, computer vision, and/or estimation
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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genetic counseling and targeted drug therapies to a growing array of minimally invasive procedures, Cedars-Sinai continues to stand at the forefront of technology, innovation and discovery improving patient
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inequality so persistent across organizations from firms to schools and even the government? Does the use of big data and algorithms produce more objective decision making that ameliorates racial inequality