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additional AD risk genes and to develop disease models. Work on the projects studying molecular mechanisms that recently identified Alzheimer’s disease risk repeat expansion variants contribute to disease
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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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clinical features using machine learning and foundational modeling approaches. This work supports disease modeling across chronic kidney disease, acute kidney injury, cancer, and neurological conditions. A
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influence placental physiology, fetal development and long-term health outcomes. The successful candidate will join a dedicated research team conducting translational studies using animal models, human tissue
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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
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-Grant system. Candidates must also have a commitment to UF core values . Preferred: General understanding of Lake Okeechobee, Florida ecosystems specific to wetlands. Hydrologic modeling and geospatial
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as cell culture, gene editing, IP, WB, flow cytometry, etc. Epigenetics/Genomics approaches: ChIP, ChIP-seq/CUT&RUN, ATAC-seq, RNA-seq, CRISPR Screening, etc. Expertise in in vivo animal models
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collaboration with the UF Artificial Intelligence initiative. The successful candidate will have the opportunity to work on cutting-edge projects aimed at building large-scale models for neuroimaging and
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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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to those who have expertise in neuroanatomy, small animal surgery, electrophysiology and behavioral pharmacology. Prior working experience with rodent models. Small animal stereotaxic surgery experience