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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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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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scientific curiosity. You thrive at the boundary of robot learning, computer vision, deep learning, and simulation, and you are excited to see your research running on real robots. You communicate clearly
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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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, or related field. Strong programming skills and experience with deep learning models, particularly Large Language Models. Evidence of producing high-quality research outputs. Experience contributing to and
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George Washington University | Washington, District of Columbia | United States | about 22 hours ago
by a high-impact record of peer-reviewed publications. Teaching & Mentorship: Teach graduate and undergraduate courses in political science and mentor students within the department. Service
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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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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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solutions that enhance ecological monitoring, improve resilience planning, and promote sustainable resource management. Development of a Detection Transformer through Attentive Deep Learning and Explainable