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Field
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machine learning for real-world applications. Scalable Digital Health Solutions: Develop methodologies for reliable, long-term motion monitoring across diverse user groups and environments
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data science, machine learning preferred. - Strong programming skills in R and/or Python required. We invite applications from qualified candidates who share our commitment to employment equity and
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independently and as part of an interdisciplinary and cross-cultural team, possess excellent organisational and communication skills, and work collegially with other staff. Advanced computer skills, including
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Qualifications Work Experience: Experience with research involving animals. Animal Behavior training and testing. Single unit neurophysiology data acquisition and analysis. Skills: Highly motivated to learn
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power electronics Machine learning Renewable energy systems Advanced statistics Language requirement: Good oral and written communication skills in English English requirements for applicants from outside
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may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling; statistics and machine learning
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environment Work Locations Work location is expected to be onsite in Ann Arbor with flexibility for remote work within our overall Center policies. Modes of Work Positions that are eligible for hybrid or mobile
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brick and mortar program and a new exclusively online program) and growing BSW program. The ideal candidate will be able to teach courses in our MSW online program in both generalist and advanced
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neuroimaging and fluid biomarkers, (b) systems biology analysis of pathways from multi-omics data using multi-layered network approaches, © machine learning for identification of genetic risk factors in ADRD, (d
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-performance computing, machine learning models (eg. LLM), probabilistic models for data, novel techniques for making measurements, visualization tools, and community-oriented foundational software tools. Please