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and compliance, data analysis, and dissemination of findings through manuscripts and presentations. Minimum Requirements • PhD in biofabrication, biomedical engineering, chemistry/materials science
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patient care. This is a highly applied computational research role, with opportunity to create meaningful clinical impact! General Duties: Develop AI/ML models for analysis of clinical single-cell data Use
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to join an interdisciplinary project at the interface of single-cell genomics, data integration, and developmental biology. The project focuses on the integration and analysis of multi-modal single-cell
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for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
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" and the extent to which their trust in a common societal project includes this protection mission, as well as how they conceive the modalities and financing of this broadly understood intergenerational
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The successful candidate will have extensive experience with bioinformatics (the analysis of bulk and single-cell high-throughput datasets) and will contribute to a research program investigating
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imaging modality. Preferred Qualifications: Work Experience: Preclinical MRI MRI pulse sequence development and optimization Quantitative MRI analysis Image reconstruction and image processing using Bruker
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patterns, identify changes in behavior and potentially unsafe events, and support safer and more independent living. Approaches may integrate vibration-based and multi-modal sensing, structural dynamics
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), HCP, ABCD, ENIGMA, as well as data from local clinical trials and observational studies (e.g., UMMS EHR data). · Clinical trial design and analysis using advanced statistical methods
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-quality requirements, and analysis-ready data structures. Develop machine learning models that integrate multimodal experimental and simulation data. Contribute to the development of Crucible Data Platform