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learning, and data modeling techniques Preferred: Prior working experience with EHR data, machine learning, deep learning, imaging informatics, and large language models (LLM) is preferred. Prior working
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unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
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postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's
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animal models and extending these insights to understanding and intervening in human diseases. Successful candidates will be self-motivated scientists, with a passion for advancing cutting-edge research
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biology, such as cell culture, gene editing, IP, WB, flow cytometry, in vivo models, etc. Epigenetics/Genomics approaches: ChIP, ChIP-seq, ATAC-seq, RNA-seq, CRISPR Screening, etc. Basic bioinformatic
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neurodegenerative diseases and iPSC-derived neurons representative of the disease. Testing promising compounds for their in vivo pharmacokinetic properties in wildtype and mouse models for neurodegenerative diseases
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Coordinates Graduate School support for the recruitment and funding of international Fulbright scholars. Advises academic units on Fulbright program requirements and funding structures. Manages out-of-state
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for Food and Agricultural Sciences Crop Transformation Center (UF/IFAS CTC). The Baysal Lab is seeking a highly motivated and innovative Postdoctoral Research Associate to advance research in citrus
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fibroids and eliminating fibroid health disparities. The project will provide education on fibroid symptoms/management, identify barriers to care, and improve risk prediction models to identify women with