Sort by
Refine Your Search
-
skills, excellent computer literacy. Location: Rutgers University - New Brunswick Create a Job Match for Similar Jobs About Rutgers University Rutgers, The State University of New Jersey, is a leading
-
skills; Ability to work independently; Experience working on research projects with a research team; and Excellent verbal, writing and analytical, organizational and attention to detail skills, computer
-
, or qPCR. Utilize viral vector techniques to obtain cell-type specific neuronal gene transduction manipulations in vivo. Use specialized computer skills to analyze data, like Graphpad Prism, Pathfinder, and
-
: 258029 Minimum Education and Experience: Doctoral degree in Computer Science, Marketing, Economics, Statistics, Public Administration, Psychology, Industrial/Systems Engineering, or related fields critical
-
translation complexes preferred. Effective spoken and written English required. High level of computer literacy required. Experience in chromatography (including FPLC and preferably including HPLC) and
-
genomics techniques with computational analyses to understand gene regulation in health and disease. Such models are based on multi-omics high-throughput assays, either performed by the Postdoctoral
-
mechanisms driving non-alcoholic fatty liver disease and metabolic syndrome using rodent models. Among the key duties of the position are the following: Assists in conducting a continuous program of research
-
-doctoral associate for an NSF-funded project on the social, environmental and linguistic factors that affect human wayfinding. Working with the PI and co-PIs in computer science, psychology, applied math and
-
crystallography and cryo-electron microscopy (cryo-EM) is desirable, however not required. The selected candidate will obtain appropriate training in crystallization and crystallographic computing, microscope
-
, excellent communication skills, excellent computer literacy. Certifications/Licenses Required Knowledge, Skills, and Abilities PhD in life sciences. Experience with proteomics, bioinformatics, mass