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2025. -Candidates should have excellent skills in designing, conducting and analyzing Social Network data. -Excellent data analysis skills in R, Python, and/or Matlab are required. -Ability to work
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and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques. Preferred Qualifications: Prior working experience with EHR data, machine
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Qualifications: PhD in experimental particle physics at the time of appointment. Preferred: Deep understanding of the particle detectors, particle identification, data analysis Machine learning experience is a
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management, data analysis, recruitment, and leading/contributing to manuscripts related to the project. The associate may also work to develop culturally appropriate education and dissemination based
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Classification Title: Post Doc Associate Classification Minimum Requirements: Ph.D. degree in biomedical informatics/bioinformatics, computer science, data science, electronic/biomedical engineering
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and quantitative data analysis is a plus. Exceptional writing and editing skills, with a strong command of grammar and style is also preferred. Special Instructions to Applicants: Application must be
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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citizen science or crowdsourced data integration Proficiency in statistical modeling and time series analysis Special Instructions to Applicants: For full consideration, applications must be submitted
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, Program and Staff Awards. Leads and manages annual award and recognition ceremony. Data Management and Compliance Oversees internal systems for tracking fellowships and awards. Ensures compliance with
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, and contact information (name, email, phone number) for 3 references. Final candidate will be required to provide official transcript to the hiring department upon hire. A transcript will not be