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modeling and machine learning, under the supervision of Prof. Pierre Gentine at Columbia University and Prof. Viviana Acquaviva at CUNY. The position is part of the National Science Foundation-funded
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computational neuroscience, theoretical modeling, and neural data analysis. Experience developing theoretical models to investigate interactions among multiple brain regions underlying behavior is required
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-associated systemic metabolic dysfunction. We use genetically engineered mouse models, patient-derived organoid cultures, optical redox sensors, chemical proteomics, single-cell sequencing, metabolomics, and
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Observatory of Columbia University invites applications for a Postdoctoral Research Scientist position in Computational Mineral Physics. The position is associated with the project "Modeling Earth from Atomic
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of cognitive deficits in Alzheimer?s disease and will then target these molecular pathways to treat the disease, using a number of mouse models. Specific duties include: Performing mouse behavioral testing and
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, the AI Generalist, and CUIT technical partners, this role will translate requirements into scalable technical solutions using programming, machine learning, large language models, prompt engineering, data
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modeling. Carry out laboratory management duties including the ordering of laboratory equipment, reagents, chemicals, animals and general supplies. Maintain equipment for histology, immunohistochemistry
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and will participate in both in vitro (2D and 3D cell and organoid culture) and in vivo (mouse model) research. The role involves conducting functional studies to investigate cellular pathways altered
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candidates are also encouraged to apply. Experience analyzing longitudinal or observational cohort data. Knowledge of generalized linear models, mixed-effects models, survival analysis, or other advanced
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funding. KEY RESPONSIBILITIES A key research team member to the strategic growth of this laboratory's mission/vision, the Staff Associate I will advance medical knowledge using preclinical models and to