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leader • Excellent written and oral communication skills Preferred Qualifications • Background in antisemitism studies • Experience with R, NLP and deep learning libraries • High performance computing
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: Experience in applying machine learning, deep learning to immunology Experience with high resolution -omics approaches including bioinformatics pipelines Expertise in work related to viral and/or bacterial
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-2027 academic year to teach in our baccalaureate and graduate programs, including: · BS in Public Service and Public Policy · BS in Emergency Management and Homeland Security
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básica en análisis de datos. Programación en Python. Conocimiento de modelos de machine y deep learning. Nivel medio de inglés. Secondary school diploma, vocational training (FP), or Bachelor’s degree
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team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding of machine learning technology and experience on turning machine
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
position will include, but is not limited to, multimodal+embodied semantics, human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning. The duties of the postdoctoral
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solutions that enhance ecological monitoring, improve resilience planning, and promote sustainable resource management. Development of a Detection Transformer through Attentive Deep Learning and Explainable
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this position, please contact Anu Khara, Manager, Learning Design and Innovation, anuradha.khara@utas.edu.au . Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details
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applications for faculty positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics
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University of California, San Francisco | San Francisco, California | United States | about 7 hours ago
learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description UCSF