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Field
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informatics experts. Requirements: MD or PhD or equivalent degree in Computer Science, Biomedical Informatics, AI, or related fields. Exceptional publication record demonstrating expertise in AI, particularly
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research that together enhance our contribution to society. Required Qualifications* PhD in computer science, engineering, applied mathematics, statistical physics, biology, or a related field. Reasonable
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Qualifications A PhD in biology, chemical biology, ecology, environmental science, conservation biology, or a related field by the time of appointment. Strong experience in marine biology, evolution, development
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practices to employ LLMs for hypothesis testing in the social sciences New methods to promote the interpretability of embedding vectors Unsupervised identification of novel legal ideas and concepts Data
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objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms (50%). PhD in computer science, engineering
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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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fellow to join the lab of Dr. Bo Zhao, at Indiana University School of Medicine (IUSM) to study the underlying molecular mechanisms of auditory perception and deafness. More information on our current
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data on cardiometabolic traits and diseases for publications. He/she must demonstrate relevant experience with the first-author papers/manuscripts. Applicants must hold a PhD degree in genetics
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for high dimensional data PhD degree or higher in computer science, biomedical informatics, statistics, computational biology, or a related field; Strong programming skills in one of the traditional
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Posting Details Position Details Title Postdoctoral Fellow in Connectomics Specific Title Postdoctoral Fellow in Radiology & Imaging Sciences Appointment Type Postdoctoral Fellow Department IUSM