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stakeholders. Department Specific Functions Conduct machine learning-based analysis of long-term atmospheric new particle formation (NPF) data. Preprocess, clean, and organize complex environmental time-series
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verbal communication skills for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Develop/use various machine learning and data mining models including convolutional neural networks (CNNs) Transformers, large language models (LLMs), and Vision Language Models (VLMs) Analyze electronics
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analytical and problem-solving skills with demonstrated ability to apply machine learning and statistical approaches to real-world data. Proficiency in Python, SQL, and data analysis libraries (e.g., pandas
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machines, and other retail items. Maintains work and storage area clean and organized. Learns and follows food preparation guidelines. Adheres to University and unit-level policies and procedures and
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
-
Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how