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to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and
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such as programming languages, augmented/virtual/mixed reality (AR, VR, MR), algorithmic aesthetics, data visualization, and 2D/3D animation, modeling, and immersive environments. The University of Florida
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optimization, using models to test the effectiveness of different courses of action. In addition, the Data Scientist 1 uses a variety of data mining and analysis methods, using a range of data tools, building
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, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and experience in deep learning and generative AI is considered
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years, with a focus on creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different nationalities, backgrounds and fields. As a PhD
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techniques to several hundred local, national and international users annually. Specific tasks Develop and apply different image analysis approaches to, for example, segment, track, and characterize cellular
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laboratory facilities. More specifically TEC-EF responsibilities encompass at subsystem and instrument level: Payloads with RF interface exploiting different technologies (e.g., analogue, digital, optical
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. Prototype autonomous systems for in-space manufacturing and testing. Develop AI algorithms for navigation, guidance, and control. Lead collaborative research proposals for NSF, DoD, DOE, NASA and with other
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efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different
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. Programming & Data Analytics (20%) Develop and implement algorithms for system identification, condition assessment, and structural health monitoring. Apply statistical and computational tools to assess