42 parallel-and-distributed-computing-phd Fellowship positions at University of Michigan
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for a postdoctoral researcher in computational design and digital fabrication. Reporting to Tsz Yan Ng, associate professor of architecture, you will work on robotic 3D printing processes such as concrete
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and health. Candidates are required to have a PhD in such fields related to environmental policy, environmental justice, water resources, environmental/public health, emergency management, climate
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Qualifications* PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field by the time of the appointment Strong methodological and computational skills Demonstrated interest or experience
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Required Qualifications* A PhD in Information, Human-Computer Interaction, Computer Science, or a related field; conferred by the start date Desired Qualifications* Experience translating research outcomes
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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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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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, cognition, and multimodal imaging studies of Parkinson's disease and is directed by Drs. Nicolaas Bohnen, MD, PhD (Director) and Prabesh Kanel, PhD (Co-director). We are looking for a post-doctoral candidate
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-disciplinary research program that couples clinical, computational and basic research, epitomizing our bench-to-bedside philosophy. The position will leverage a combination of cutting-edge techniques
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mission. The successful candidate(s) will have: Completed a doctoral degree program (MD, PhD, DrPH, PharmD, or equivalent) by the starting date. Demonstrated commitment to pharmacoepidemiology, health
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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