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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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studies. Develop and apply advanced statistical methods and machine learning techniques using tools such as R and Python. Integrate and run process-based models (e.g., crop models, hydrologic models
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handling, with preference for those trained in surgical techniques, nerve/EMG recordings, or electrophysiological assessments. Previous experience with rodent survival surgery, spinal cord injury models
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contribute to data processing, software development, and other collaborative efforts. Expected Salary: $61,000 - $64,000 Required Qualifications: A Ph.D. in biomedical informatics, computer
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ideally August 18, 2025. The project uses interdisciplinary methods from social network science, language modeling, and cognitive science. In this longitudinal project we will follow learners of Spanish who
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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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Classification Title: Post Doctoral Associate Job Description: The Department of Electrical and Computer Engineering is seeking candidate for a position at the level of Post-doctoral Associate
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novel, lab-generated mouse models, and available human patient samples, the lab identifies and validates novel targets in obesity and MASLD and subsequently develops pharmacological tools that ameliorate
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, evo-devo, neurophysiology, and behavior projects ongoing. Work will primarily be related to the genetics and physiology of opsin-expressing sensory cells in the lab’s model system, Nematostella