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/Administrative Internal Number: 6982135 Research Assistant Brown University To view the full job posting and apply for this position, go to: https://brown.wd5.myworkdayjobs.com/en-US/staff-careers-brown/job/Butler
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development of AI and avoiding its misuse. These issues might be exacerbated by the lack of formal guarantees in explaining the behavior of AI systems in terms of human-interpretable, high-level concepts. While
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projects, including the flagship EXCELSIOR H2020 Teaming Project (https://excelsior2020.eu/ ), as well as DIGIFARM, NOSTRADAMUS, CERBERUS, and CARBONICA. ERATOSTHENES Centre of Excellence is an autonomous
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, training models, performance models and algorithms. • Applies engineering and computer science principles to design and develop robotic systems. • Develops and coordinates communications, presentations, etc
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required. Candidates should be comfortable developing and teaching the core MADS courses offered by the Computer Science Department (CSC 501: Algorithms and Data Models; CSC 502: Systems for Massive Datasets
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presentation found here: http://www.med.umich.edu/cvc/pdf/cvcpotentialteam.pdf Job Summary The Telemetry Monitor Technician will be accountable and responsible for the continuous monitoring of cardiac rhythms
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biological or other research data. Utilizes and develops algorithms, computational techniques, and statistical methodologies. Helps in the design of new experiments. Implements end-user needs in database
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago
into the high-performance code hawen (https://ffaucher.gitlab.io/hawen-website/ ) with the support of the development team, enabling their application to real-world applications. The program will be divided
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
and analytically, to solve problems independently using the right methods, and to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your
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development of post-graduate students. Particular attention will be given to candidates with experience in topics that are relevant to data science, most notably mathematical and algorithmic foundation