Sort by
Refine Your Search
-
the mechanisms driving mitochondria to dysfunction and failure in neurodegeneration and aging, using cellular models. Successful candidates will participate in the initiation of the different research projects
-
geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related
-
modeling, molecular simulations, bioinformatics, or wet-lab experimental design relevant to the lab’s focus preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
-
Corporate Compliance Policy, Code of Conduct and Conflict of Interest Policy. Understands, demonstrates and models the Rutgers Cancer Institute core values. Keep abreast of all pertinent federal, state and
-
research on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches
-
both 2D and 3D models, for experimental studies. The ideal candidate will demonstrate a strong record of accomplishment in a relevant area of biomedical research, evidenced by first-author peer-reviewed
-
contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific
-
contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific
-
mouse model studies are needed for this position. Among the key duties of this position are the following: Treats and assesses mouse models of neurodegenerative disease using behavioral tests. Breeds
-
(TurboID), phosphoproteomics, and mouse models (including bGHTg acromegaly mice and breast cancer xenografts), we aim to uncover fundamental mechanisms of IGF1R antagonism and develop peptide‑based