29 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of South Carolina
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., flooding, water quality, water usage). This will be achieved by using data-driven approaches, including computer vision and neural networks, to estimate parameters such as water levels, areas of inundation
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(AWS, Google, or Microsoft) Knowledge/Skills/Abilities Ability to conduct research on earth surface properties using satellite remote sensing. Ability to write and edit programs in computer languages
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to at least the intermediate level of multiple regression Computer literacy with knowledge of at least one statistical software package (e.g., R, Mplus, Stata, SAS) Working collaboratively and effectively with
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to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more
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enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build
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-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond. Inclusive
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to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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relevant programming languages. Ability to use/learn several advanced modeling methods (e.g., statistical, mathematical, individual-based, or machine learning models). Experience with high-performance
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enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build