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equivalent. Experience in computational biology or bioinformatics research required; proficiency in Python and/or R required; experience with genomic and/or transcriptomic data analysis required; familiarity
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total of five years. This appointment is not intended for long-term, indefinite, or career appointments. I. POSITION INFORMATION Job Description Summary: AI AND META ANALYSIS The Institute for Data
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connectivity analysis and structural MRI data analysis. Strong background in neuroscience and psychology. Experience working with clinical datasets, neuropsychological assessments, and pathology-related
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isolates. Conduct Bioinformatics analysis related to the generated data. Co-supervise master and doctoral student. Publish results in high impact factor journals. Education, qualifications, and experience
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projects integrating omics, clinical and medical imaging data, contributing to biomarker identification and the development of computational approaches for healthcare. Key responsibilities include analysis
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omics platforms (e.g., fluorescence microscopy, mass spectrometry imaging (MSI), Raman systems) and will develop computational and statistical data analysis methods to improve data quality, information
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and image analysis. You are familiar with molecular biology techniques and working with multi-modal datasets. You are interested in integrating morphological, molecular, and genetic data to address
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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survey development, data analysis, and dissemination of findings. Plan and implement partner engagement activities (e.g., symposium, listening sessions, ongoing communication) and contribute to development
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neuroscientists and computer scientists to advance understanding of neural coding and circuit dynamics while contributing to publications, presentations, and mentorship within a highly collaborative research