Sort by
Refine Your Search
-
inference methods in these data, assemble and summarize relevant literature, and will be encouraged to develop their own independent research program in maternal and child health and/or housing and
-
functioning of their biomedical research laboratory, and to fulfill the research and teaching requirements of the Rutgers IRACDA, INSPIRE Postdoctoral Training Program. Among the key duties of this position
-
computer programming experience in python or Matlab and the ability to deal with large, complex datasets are required. Experience with preparation and writing of scientific manuscripts and grant applications
-
industry. The Fellowship Program provides robust learning experiences related to Medical Affairs, Commercial/Marketing, Regulatory Affairs, Clinical Development, etc. The Fellow will spend the majority
-
: 262971 Minimum Education and Experience: Applicants must have a doctoral degree in statistics, computer science, or a related field. City: Piscataway State: NJ Location: Busch (RU-New Brunswick) Create a
-
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
-
-based treatments in the community. The training program is designed to impart the skills necessary for submitting successful career development awards. The emphasis on translational clinical research will
-
mammalian or microbial systems, preferred. Familiarity with computational analysis or coding (e.g., R, Python), preferred. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing
-
biology and behavior; proficiency in lab- or field- or computational research; strong analytical skills; excellent communication and scientific writing skills; ability to work in interdisciplinary teams
-
communities in health and disease. The successful candidate will work at the interface of bioinformatics, microbiome ecology, and metabolomics, contributing to both computational analyses and laboratory