71 computer "https:" "https:" Postdoctoral positions at Rutgers University in United States
Sort by
Refine Your Search
-
duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, and PowerPoint. Must have the ability to work collaboratively and
-
information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Position Status Full Time Working Hours 37.5 Standard Hours 37.50 Daily Work Shift Work Arrangement
-
, and dissemination of results. The research program is focused on understanding prenatal determinants, such as extracellular vesicles and steroid hormones, that shape brain development and behavior
-
and written communication skills; and ability to understand and communicate in English to sufficiently perform the job duties. Must be computer literate with proficiency and working knowledge
-
including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods at the density-functional
-
interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory workflows. This position offers the opportunity to lead integrative projects
-
linguistic factors that affect human wayfinding. Working with the PI and co-PIs in computer science, psychology, applied math and architecture/design, the postdoctoral fellow will be intimately involved in all
-
undergraduates in scientific research projects. ESSENTIAL DUTIES & RESPONSIBILITIES INCLUDE: 1) Computer simulations of protein structure and computational protein design of small peptides and proteins. 2
-
are the following: Conceptualizes, designs and implements research and program evaluation projects in support of the lab’s mission. Based on a thorough knowledge of the field and the research literature, identifies
-
to oversee research activities outlined in NSF Grant 2520154 “Understanding Expectation-Driven Learning in Early Childhood: An Experimental and Computational Investigation,” under the supervision of Dr. Kimele