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Field
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in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial machine learning, Computer vision, and Autonomous Robots is desired. The successful applicant will work on
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central to modern Data Science, such as statistical learning, causal inference, experimental design, probability, stochastic PDEs, algebraic statistics, normalizing flows, scientific machine learning
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central to modern Data Science, such as statistical learning, causal inference, experimental design, probability, stochastic PDEs, algebraic statistics, normalizing flows, scientific machine learning
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Your Job Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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inference), and automated machine learning. holding (or close to acquiring) a PhD degree in Computer Science, Artificial Intelligence or a closely related field; strong research vision and an academic
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CFM-Centro de Física de Materiales/MPC-Materials Physics Center | Donostia-San Sebastian, Pais Vasco | Spain | about 2 months ago
nanoscience, chemistry, materials science, physics, computer science, machine learning or scientific programming is advantageous but not mandatory. We are primarily looking for highly motivated
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Intelligence, or a related field; Good knowledge of and experienced with Machine learning, Image processing, and Computer Vision techniques; Highly motivated to both perform foundational research and apply the
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-performance computing is an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific
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graduate courses in biostatistics, statistics, artificial intelligence, machine learning, and data science. Participate in the mentoring of graduate students, postdoctoral fellows, and staff. Participate
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University of Turku, New York University Abu Dhabi, and Vrije Universiteit Amsterdam. Requirements A PhD in robotics, machine learning, computer vision, control, or a related field (candidates close