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recognized leader in cartographic design, dynamic mapping, mobile application development, spatial data analysis, visualization, and GIS. The Lab conducts interdisciplinary collaborative projects with research
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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University of California, Los Angeles | Los Angeles, California | United States | about 15 hours ago
. The position is supported by funding from the Burroughs Wellcome Fund and UCLA Start-up funding. Candidates with a background in genomic data analysis, stem cell biology, metabolism, and/or related disciplines
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research projects. Prepares research data (e.g., coding and cleaning) for analysis. Analyzes research data, performs quantitative analysis, and summarizes findings. Writes and contributes to research papers
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our broader scientific vision. Main duties and responsibilities Working and collaborating on research projects; Analysis, communication and publication of results; Participate in PhD and master student
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preferred. 5. Extensive experience in applying advanced machine learning and deep learning techniques to medical image analysis tasks—including, but not limited to, image segmentation, classification
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, specifically in biopsychosocial aspects of mental health, acute/chronic and pain related conditions, including sickle cell disease. Data Collection & Analysis: Design and implement data collection strategies
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., Datavyu), longitudinal data analysis (e.g., RI-CLPM, growth-curve analysis), multi-level modeling, and experimental study design. Expertise designing studies with parents, infants, and school-aged children
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Metabolic Flux Analysis (MFA), kinetic modeling, or constraint-based genome-scale modeling (COBRA). • Strong mathematical background in differential equations, linear algebra, and optimization. • Background
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, or prime editing. • Computational Biology & AI/ML: Experience in AI/ML-enabled design of biomolecules (e.g., proteins, RNA) or bioinformatics. • Cell Analysis: Proficient in flow cytometry, FACS, NGS