Sort by
Refine Your Search
-
Employer
-
Field
-
collaborations relating to understanding disease heterogeneity through genetics, transcriptomics, imaging, and other biomarker data across human data sets. Success in these responsibilities requires a thorough
-
image processing (e.g., in Matlab), and Fourier optics are desirable. Knowledge of visual optics is not required, though beneficial. The project is supported by federal funding. Rank and salary will be
-
problems in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
-
, modified Paleolithic diet and usual diet (with Dietary Guidelines for Americans information) diets in the setting of multiple sclerosis, which will include biomarkers and brain imaging at baseline and after
-
, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
-
Glaucoma Research-funded scientist Samuel Herberg, PhD, is using a 3D model of the fluid drainage tissue that could improve our ability to understand and treat glaucoma. Learn More Standing Together to
-
models, bioluminescence Imaging, and animal necropsy. Other wet-lab techniques or assays maybe involved depending on how the project progresses. Required Qualifications* PhD (or equivalent) in Biomedical
-
Lab at Indiana University School of Optometry is looking to fill a Postdoctoral Fellow position. The Lim Lab uses in vivo and ex vivo multiphoton imaging of mouse models to investigate dynamic gene
-
undergraduate programs (BS through PhD). The College has seven academic programs that are externally accredited and is home to more than 1,900 undergraduate and 950 graduate students and approximately 140 faculty
-
in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion