68 computational-materials-science "https:" Postdoctoral positions at Rutgers University
Sort by
Refine Your Search
-
Position Details Position Information Recruitment/Posting Title Postdoctoral Associate - Structural Engineering Department Advanced Infrastructure Center Salary Details Minimum of union contracted
-
RUTGERS CANCER INSTITUTE VISION, MISSION, AND CORE VALUES: VISION: Through our science, our evidence-based actions, our openness, and our respect for those we serve, we will advance cancer-focused research
-
materials chemistry and surface science, with a focus on the development, operation, and analysis of specialized physical characterization techniques. Position Status Full Time Posting Number 26FA0156 Posting
-
Position Details Position Information Recruitment/Posting Title Postdoctoral Associate in Computational Structural Evolutionary Biology Department Quantitative Biomedicine Inst Salary Details 63,968
-
-derived human neurons. The applicant should have strong background in neuroscience and/or biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
-
discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
-
and molecular biology techniques, including cell culture, cloning, and DNA repair assays. Preferred Qualifications Familiarity with biostatistics, immunology, microscopy, computational genomics, and
-
Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Department Chemical Biology Salary Details $63,968.00 Offer Information The final salary offer may be
-
- Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience A PhD degree in Computer Science
-
for the independent conduct of a significant element of a larger research activity in algal and seaweed biotechnology, computational biology, and genetics aimed at developing platforms for generating valuable