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Learning Develop computer graphics and machine learning algorithms (e.g., SLAM and Gaussian Splatting), and evaluate their accuracy in scene reconstruction and camera trajectory estimation using videos
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research with computer programming Knolwedge of data structure and algorithms, machine learning, and artificial intelligence Skills in big data analysis Additional Information Professional references will be
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, climb ladders, and stand, walk or stoop extensively Ability to work effectively with individuals from different viewpoints and backgrounds A valid US or Canadian drivers' license Preferred: Familiarity
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to different aspects of student services. Sensitivity to cultural, political, and geographical differences, with the ability to work well with a diverse student body. Ability to work evenings/weekends. Ability
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to the discovery process through algorithm design and development of effective computing techniques What We're Looking For Education and Experience Required: Master’s degree in chemistry, engineering, math, physical
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collection methods for external data (e.g. web scraping) to collect data for use in modelling and analysis. Develop analytic plans, engineer supporting algorithms, write new functions or applications in
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, financial planning, and travel preparation. Coordinate pre-departure and re-entry programming to ensure student success and reflection. Coordinate admission and course registration process of incoming
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University is looking for a motivated and independent postdoctoral researcher with an interest in evolutionary biology and systems biology. The position is for a minimum of 2 years (extendable to 3 years
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to different environments. Job Responsibilities 21st Century Scholar Assistance: Assist in the implementation and promotion of Indiana’s 21st Century Scholar program within schools, helping students and families
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, climb ladders, and stand, walk or stoop extensively Ability to work effectively with individuals from different viewpoints and backgrounds A valid US or Canadian drivers' license Preferred: Familiarity