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algorithms. The candidate should have the following skills: • Strong technical, analytical, and quantitative abilities; • Strong interpersonal, organizational, and communication skills, and the willingness
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specific emphasis on the interpretation of single cell results within a biological context. The position also entails close collaborations with multiple groups, many at the Stanley Center in the Broad
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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(and other geophysical techniques) forward and inversion modeling. Write professional-level codes/algorithms. Publish quality research results in peer-reviewed publications and presentations. Participate
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, prediction, and decision support and automation. Additional duties include but are not limited to: Developing and refining algorithms and workflows for crop monitoring, modeling, prediction, and decision
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systems or systematics. Combining operators You can combine the operators above to fine-tune your results: +"artificial intelligence" algorithm +robot -machine → Shows results only if they include
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research has been funded by multiple NIH R01 grants and industry grants with awards from AAPM and ASTRO. Dr. Ren is a Fellow of AAPM. Details about Dr. Ren’s profile can be found at the following link: https