-
Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review
-
, 3D ex-vivo cell culturing models, and the implementation of unique genetically modified animal models. The Division provides a highly collaborative environment and the possibility to grow. An NIH
-
seizure models and cell cultures, primarily utilizing molecular and cell biology techniques. The Obeid lab investigates the mechanisms of seizure emergence and their effects on cognitive and behavioral
-
genetic models, and animal models of cardiomyopathy, heart failure and vascular disease. During past years, the lab has published in Nature Cell Biology, Developmental Cell, Development, Genome Biology
-
. Department Contact for Questions Miranda Lockwood, SHRM-CP Human Resources Business Partner mjlockwo@iu.edu Additional Qualifications Experience with machine learning and AI models. Ability to communicate
-
strategies in preclinical models (Fang Y, et al., JCI 2021, Zhou Z., et al., Nature BME 2021, Tao Y, et al., Adv Sci 2024). Dr. Zhang’s lab has developed a number of technical platforms that facilitate
-
immunological concepts, and have a demonstrated record of publications. Experience with mouse models and proficiency in flow cytometry are preferred but not required. Successful candidates will work closely with
-
(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
-
), and the Accelerating Medicines Partnership for AD (AMP-AD), and Model Organism Development & Evaluation for Late-Onset Alzheimer’s Disease (MODEL-AD). Requirements Successful applicants will have strong
-
, 3D ex-vivo cell culturing models, and the implementation of unique genetically modified animal models. The Division provides a highly collaborative environment and the possibility to grow. An NIH