Sort by
Refine Your Search
- 
                
                
                Ph.D. in biology, psychology, animal behavior or related field and experience conducting behavioral experiments (in any species) is required. Strong skills in complex statistical analysis is preferred 
- 
                
                
                Specialist for a National Institutes of Health (NIH) funded fellowship in public and population health informatics. This unique post-doctoral program is located on Indiana University’s Indianapolis campus 
- 
                
                
                , omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer 
- 
                
                
                contribute to immune dysfunction and neurodegeneration. Perform statistical analyses, data integration, and interpretation of complex datasets. Contribute to manuscript preparation, grant writing, and 
- 
                
                
                for one or more outstanding, highly motivated post-doctoral research fellows with special interest in human genomics/computational systems biology to work on multi-omics analyses of Alzheimer’s disease and 
- 
                
                
                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 
- 
                
                
                of artificial intelligence and behavioral neuroscience. This individual will join our interdisciplinary team of computer scientists and behavioral neuroscientists seeking to identify the mechanistic and 
- 
                
                
                IU Bloomington Intelligent Systems Engineering Location Bloomington Position Summary Indiana University, Bloomington Luddy School of Informatics, Computing, and Engineering Leung Research Group 
- 
                
                
                , CRISPR genome editing, CUT&RUN/ChIP, scRNA-seq/scATAC-seq, super-resolution/expansion microscopy, calcium imaging, proteomics, hydrogel fabrication/characterization, bioprinting and computational modeling 
- 
                
                
                on methods development for understanding genetic variation within and between populations, (2) building computational pipelines for conducting simulation experiments and analyzing genomic sequencing data, (3