64 phd-image-processing-"Fraunhofer-Gesellschaft" Postdoctoral positions at Rutgers University
Sort by
Refine Your Search
-
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
-
using specific laboratory techniques that involve flow cytometry analysis, animal models of airway and brain disorders, single-cell RNA-seq, multiplex cytokine assays, and immunofluorescence imaging
-
duties of this position are the following: Conducts research processes and procedures in the laboratory. Assists in the acquisition and analysis of data. Supports the Principal Investigator's plans
-
clinical research on pharmacology, toxicology, and exposure science. Dr. Bernstein’s research team has access to outstanding facilities of Genomics, Genetics, Proteomics, Confocal and high-content imaging
-
candidate(s) must hold a PhD or MD degree in Neuroscience or relevant biological sciences. Candidates in All But Degree (ABD) status will also be considered. Prior experience with cell culture, biochemistry
-
biomedical science. Consideration to interview will also be given to applicants who are in the process of completing their PhD or equivalent doctorate degree in Cancer Biology, Precision Cancer Medicine, or a
-
candidate(s) must hold a PhD or MD degree in Neuroscience or relevant biological sciences. Prior experience with cell culture, biochemistry, and cell imaging techniques are required. Certifications/Licenses
-
advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
-
Internal Number: 273086 Minimum Education and Experience: This position requires a PhD or equivalent and experience with the C. elegans model system. City: Piscataway State: NJ Location: Rutgers University
-
effectiveness research Collaborating with cross functional industry teams to gain a better understanding of how real world evidence can be used in the decision-making process associated with the development and