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analysis. Required Qualifications* A PhD in hydrology, water resources engineering, environmental science, civil engineering, atmospheric sciences, computer science, or a related field is required either
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multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and their dynamics. Conducting literature searches, manuscript preparation, and
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communication and organizational skills to join our lab (Paula Anne Newman-Casey eHealth Lab (google.com)). We are seeking someone who has completed their doctoral training (PhD) in epidemiology, statistics
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publications. Required Qualifications* PhD (or equivalent degree) in neuroscience, data science, biomedical engineering, computational neuroscience, psychology, or a related field. Hands-on experience and high
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, providing guidance as requested or needed. Required Qualifications* A PhD in a relevant specialized field, acquired within the past six, maximum seven, years, is required before appointment. Applicants should
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. Responsibilities* Design, implement, and evaluate LiDAR-based experiments in lab and real-world settings. Develop and test algorithms for object detection, tracking, and classification using LiDAR sensors. Help
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to extend based on the availability of funds, availability of work, and performance. Required Qualifications* A PhD in Economics or closely related field is required on or before the start date. Employment
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Qualifications* PhD in data science, statistics, computer science, AI, or a related field. Experience building end-to-end web applications with Python (Django/FastAPI), REST APIs, relational databases, and modern
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, providing guidance as requested or needed. Required Qualifications* A PhD in a relevant specialized field, acquired within the past six, or maximum seven, years, is required before appointment. Applicants
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candidates will have an MD and/or PhD in genetics, molecular biology, neuroscience, or a related biomedical science field. Mission Statement Michigan Medicine improves the health of patients, populations and