Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
oncology services for University and state-wide patient care. In addition, the individual will participate in our ACGME-accredited Laboratory Genetics and Genomics fellowship training program and participate
-
, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer
-
departments nationwide. Robust Faculty Community: Home to 79 primary faculty members with diverse expertise across the spectrum of medical and molecular genetics. Six Dynamic Divisions: Molecular, Computational
-
, Python, Mplus, or similar) - Familiarity with big data, Linux systems, and remote computing clusters - Experience with genome-wide statistical genetics approaches (e.g., GWAS, genetic correlations, PGS
-
of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
-
Ware, MD, Phd (https://medicine.iu.edu/faculty/22816/ware-stephanie) is the Chair of the Department of Medical and Molecular Genetics as well as the program leader of the Cardiovascular Genetics Program
-
teaching environment. Our long-standing strength lies in integrating various life‑science fields – from cell and molecular biology and genetics to anatomy, neuroscience, musculoskeletal biology, histology
-
the possibility of extension based on performance and interest. The lab studies the neuronal basis of behavior. Job Description: Design and execute Drosophila genetic crosses to support the lab’s research program
-
: (1) Designing, implementing, and overseeing research projects focused on methods development for understanding genetic variation within and between populations, (2) building computational pipelines
-
, statistical genetics, bioinformatics or computational biology. We are particularly keen to attract a candidates who already have experience and/or training in the statistical methods used in genetic and