14 computer-science-image-processing-"https:" Postdoctoral positions at Rutgers University
-
are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
-
, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
-
equipment for biochemical, cellular and molecular biology experiments: centrifuges, spectrophotometer, electrophoresis, imaging equipment, etc. Excel spreadsheets, Word processing software, and graphing and
-
perform the job duties. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel and PowerPoint. Applicant should be highly motivated
-
human patients. The applicant should have strong background in neuroscience and/or cell biology, biomedical engineering or computer science. The applicant should be able to perform small animal surgeries
-
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
-
to outstanding facilities of Genomics, Genetics, Proteomics, Confocal and high-content imaging, Histopathology, Analytical Chemistry, Flow Cytometry, etc. The position is based in the Gliniak lab
-
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
-
Position Details Position Information Recruitment/Posting Title Postdoctoral Associate Job Category Staff & Executive - Research (Laboratory/Non-Laboratory) Department RSDM - Oral Biology Overview
-
experience in a research laboratory, excellent communication skills, excellent computer literacy. This research over a large span of life science topics and technical approaches, including genetics