82 machine-learning-"https:"-"https:"-"https:"-"UCL"-"UCL" research jobs at University of Michigan
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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professor of architecture, you will work on the development of novel machine-knitted materials towards the innovation and performance of footwear and apparel. The AMSI is a groundbreaking partnership
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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natural experiments/econometrics and various machine learning techniques. The Fellow will have the opportunity to collaborate with the broader CHOP community of funded surgeon-scientists, economists
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and staff and be able to administer standardized and computer-based cognitive, behavioral, and motor assessments to research participants and score neuropsychological examinations. The candidate will be
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, motivated early-career researcher interested in learning to collect, manage, analyze, and interpret data from multiple systems including mobile eye tracking, motion capture, and force plate posturography as
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development of transparent, closed-loop control system for individualized diuretic closing including the validation and advancement of machine-learning and control algorithms, building production-oriented
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and staff and be able to administer standardized and computer-based cognitive, behavioral, and motor assessments to research participants and score neuropsychological examinations. The candidate will be
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. Ability to follow and understand regulations for PHI. Ability to work as a team. Possess strong computer skills, good communication skills, and the ability to problem-solve. Technical Knowledge: Ability
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, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune microenvironment architecture. Collaborate with wet lab