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not necessary. We welcome candidates with strong technical backgrounds who are looking for more exposure to economics. The position is structured to help individuals prepare for doctoral programs in
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contributions to The Leverhulme Centre for Algorithmic Life’s research while providing excellent opportunities for to develop your career in an exciting and progressive institution. For more information, please
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propose to create a central hub that brings together the best and brightest to capitalize on technologies such as machine learning, artificial intelligence, natural language processing algorithms, and
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addresses two intertwined goals: Improving Human Training: Developing adaptive haptic training strategies that help operators refine their skills through real-time skill estimation, multimodal feedback, and
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to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding
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solutions that assist in storage, investigation and dissemination of large data sets. 70%. Works with research team to develop new algorithms to support studies. 20%. Assists with reporting of methods, data
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involved in the Trusted Autonomous and Self-Adaptive Systems for Defence (SAACD) project. This project aims to overhaul the engineering and development of this type of complex system. A SAACD can be defined
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collaborative projects with other lab members and developing experimental protocols and experimental cell and molecular biology standards for the laboratory. The scientist will work on projects broadly
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evolution, marine science and oceanography, environmental sciences and meteorology, human ecology, entomology, and environmental economics. In addition to instruction in the classroom, field, and laboratory