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computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer science, or mathematics (or a related field), with a focus on robot vision and control, image processing
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, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good
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LLMs (e.g. Python); Strong written and oral communication skills. Having a good command of NLP methods will be an asset. Master’s degree in Mathematics, Statistics or Computer Science, or equivalent
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Grant First Nations CVD Grant Application is required. Key scholarship details Application status Open for applications Benefit amount Up to $200,000 Eligible study level Honours, Graduate coursework, Graduate research Eligible student type Domestic students Eligible study stage Future study,...
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results Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, or a related field Proficiency in at least one programming language (Python, C
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international conferences Supervise student theses Your Profile: Excellent Master`s degree with a strong academic background in computational engineering, mathematics, computer science, physics, engineering or a
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
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30, 2025. Description The URA-Sandia Graduate Student Summer Fellowship program is aimed at providing graduate student research experience in the science, technology, engineering, and mathematics areas
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November 30, 2025. Description The URA-Sandia Graduate Student Summer Fellowship program is aimed at providing graduate student research experience in the science, technology, engineering, or mathematics
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November 30, 2025. Description The URA-Sandia Graduate Student Summer Fellowship program is aimed at providing graduate student research experience in the science, technology, engineering, or mathematics