93 parallel-computing-numerical-methods positions at Rutgers University in computer-science
-
, and support services for all research technologies and systems, including server infrastructure, scientific instruments, high performance computing, AI, and cloud computing infrastructure and services
-
animal models; (iv) strong statistical and computational analysis skills, including the use of bioinformatics tools or pipelines; and/or (v) experience with analytical platforms such as chromatography and
-
surface and geological processes. The postdoctoral researcher may focus on one or more of these areas. The application and development of AI/ML methods to enhance and accelerate research is also encouraged
-
include computational biology and/or biomedicine, multi-modality fusion and inference (visual and NLP data), computationally efficient ML, environmental sciences, business applications, chemistry, and
-
Institute. The Manager, Information Systems Technology (Infrastructure) is responsible for the planning, implementation, and operational management of research computing and technology infrastructure
-
ability to develop and lead a program of independent, NIH funded research. Candidates are expected to have an established federal grant portfolio that can be transferred to Rutgers. Successful applicant(s
-
Utilized: Regular use of a computer and expertise with the following software: Microsoft Office Suite, specifically Microsoft Word, Microsoft Excel, PowerPoint, Publisher and Outlook. Physical Demands and
-
use of a computer and expertise with the following software: Microsoft Office Suite, specifically Microsoft Word, Microsoft Excel, PowerPoint, Publisher and Outlook. Physical Demands and Work
-
Laboratory Science (DCLS). The MS-CLS program and DCLS pre-residency curriculum are delivered entirely online. Interprofessional education and collaboration are actively encouraged within the Department
-
support services for all research technologies and systems, including server infrastructure, scientific instruments, high performance computing, AI, and cloud computing infrastructure and services