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related dementias. Project Overview Leveraging newly developed brain organoid models, this project will: Utilize human iPSC lines from AD patients to develop multiple tiered brain organoid models
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: navigation, memory, exploration, or the entorhinal-hippocampal circuit. Prior experience with rodent memory tasks. Experience with computational modeling. To Apply: Interested individuals should apply at https
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architecture design, simulations, and publicly available genomic datasets to develop new inference methods. The Postdoctoral Associate will conduct research related to creating or testing deep learning models
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or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Core job duties include: (1) Designing, implementing, and
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, organic chemistry, inorganic chemistry, physical chemistry, and biochemistry. Our department is in the top in the US, with our analytical chemistry program often ranked in the top 10 , as well as particular
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to contribute to cutting-edge research investigating the physiological and psychological impacts of spaceflight. Our program focuses on human analog studies to simulate microgravity and explore
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Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review
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(ADMC), Accelerating Medicines Partnership Program for Alzheimer’s disease (AMP-AD), and Model Organism Development & Evaluation for Late-Onset Alzheimer’s disease (MODEL-AD). Requirements Successful
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Interest in analyzing biomedical/clinical/genomics datasets using computational approaches such as longitudinal analysis, mixed-effect modeling, regression, and AI/machine learning in large-scale electronic
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP