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Field
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fellow will work with Dr. Yi Li and his research group to develop innovative statistical and computational methods for large-scale, high-dimensional, and complex biomedical data. Research topics include
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student training. The position also supports the overall research objectives of the University by maintaining high standards of scientific integrity, collaboration, and compliance with institutional and
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programming languages. Experience with DICOM data, medical-image registration, high-performance computing, or GPU-based computation. Familiarity with machine-learning or deep-learning methods for medical-image
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(generally July or September). Please direct questions and send all application materials via email to [email protected] . Job Summary The fellowship program aims to train fellows to conduct impactful
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. Please note that field research may occur during adverse weather (e.g., extreme heat or cold, during rainfall events). Laboratory activities may include processing soil, plant or water samples for analysis
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and performing data collection and analysis pertaining to pre-clinical research for the development and optimization of drug products, advanced therapies for the treatment of hemorrhagic shock and
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, or representation learning approaches Experience with high-performance computing, cloud platforms, or distributed training Prior experience working in a collaborative biomedical research environment What We Offer
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Python · Experience with high performance computing · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work effectively as a team · Excellent
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. Experience using high-performance computing and/or cloud computing. Ability to work independently as well as collaboratively in an interdisciplinary research environment. Strong written and oral
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in-house high-throughput and Big Data facilities for RNA-seq, scRNA-seq, microarray analysis, and bioinformatics including high-performance computation. You will participate in the research project