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Field
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lab operations. Responsibilities Independently perform basic and advanced level statistical analysis and algorithm implementation for high-throughput sequencing data. Act as a liaison between end-users
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. Familiar with robotic control systems, perception, and kinematics. Comfortable working in Linux environments with tools such as Git. Knowledge of MATLAB for simulations and algorithm prototyping. Basic
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of algorithms and models to realistically simulate forest ecosystem dynamics under varying conditions of land use change, forest and land management, climate variability, and other environmental stressors
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faculty in developing theory and application tools for artificial intelligence (AI), and training efficient data analytics. 60% - Leading research in AI will include generative models, algorithms and
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programming, algorithm development, and mathematical modelling. C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent communication skills (oral and written), including
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a Research Engineer to help us develop the next generation of autonomous systems and algorithms for Earth and space applications. Our group doesn't just develop new theories, but puts them to the test
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you will do Driving innovative AI research through the development and implementation, practical application, theoretical analysis and evaluation of AI algorithms Use of XAI tools to explain machine
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, architecture-based attacks (e.g., Spectre) show the urgency of addressing these important problems today. Even when low-level programs are well synchronised, the design of the underlying concurrent algorithms
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. Uses appropriate algorithms, logic, and data structures to solve problems and promote code reusability 4. Writes well organized, documented, and readable code 5. Uses appropriate revision control
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states, and hidden actions; New methodological and algorithmic developments for Continuous-time RL. Missing Data Problems: Novel imputation and inference techniques in various missing data problems