Sort by
Refine Your Search
-
Listed
-
Employer
- AbbVie
- Zintellect
- Harvard University
- Colorado State University
- Nature Careers
- University of Michigan
- Northeastern University
- University of Texas at Austin
- Auburn University
- City of Hope
- Dana-Farber Cancer Institute
- Indiana University
- University of Maryland, Baltimore
- University of North Carolina at Chapel Hill
- Carnegie Mellon University
- Genentech
- Johns Hopkins University
- Lawrence Berkeley National Laboratory
- Marquette University
- Massachusetts Institute of Technology
- Miami University
- New York University
- Oklahoma State University
- Rutgers University
- SUNY University at Buffalo
- Saint Louis University
- San Diego State University
- The University of Alabama
- The University of Iowa
- University of California
- University of California Los Angeles
- University of Idaho
- University of Kansas Medical Center
- University of Massachusetts
- University of Michigan - Flint
- University of Minnesota
- University of San Francisco
- University of South Carolina
- 28 more »
- « less
-
Field
-
domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by the Energy Sciences Network or run
-
, genomics, and other scientific domains. Hopper Fellows concentrate on the development and optimization of scientific and engineering applications leveraging high-speed network capability provided by
-
-affiliated hospitals. Responsibilities Design and optimize new CAR constructs and delivery systems Conduct in vitro assays to evaluate cytotoxicity, cytokine production, and phenotype Perform in vivo efficacy
-
implement testing procedures to ensure optimal performance and data quality of the polarimetric observations. Essential Function Yes Percentage of Time 30 Job Duty Perform initial on-sky calibration and study
-
tumors using high-throughput sequencing technologies. Develop, optimize, and manage bioinformatics pipelines for processing and analyzing large-scale sequencing data (e.g., whole exome sequencing, RNA
-
. Research areas include Representation Learning, Machine learning and Optimization on graphs and manifolds, as well as applications of geometric methods in the Sciences. This is a one-year position with
-
; analyze and interpret data Apply data to the iterative design of optimized chemical probes suitable for cellular and in vivo pharmacological studies Maintain accurate lab records and documentation
-
stabilizers and targeting motifs for delivery and persistence of activity in the brain-tumor microenvironment. · Formulate and optimize liposomes and polymeric/hybrid nanoparticles for delivery across
-
such as system usability, improved patient outcomes, and workflow optimization. Preference will be given to candidates who have completed a clinical informatics fellowship or similar advanced degree
-
optimization. The role offers an excellent opportunity to work alongside interdisciplinary teams and industry partners, and to contribute to real-world impact in the growing field of electric mobility