74 parallel-processing-bioinformatics research jobs at Rutgers University in United States
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of the different research projects available in the laboratory and are expected to independently conduct their own research project of basic cell biology and bioinformatics. Applicants must have earned a Ph.D
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literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Working knowledge of bioinformatics and hands-on experience with next
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Chemistry, Biochemistry, Food Science, Nutritional Science, or a related discipline; demonstrated expertise in the operation and maintenance of tandem mass spectrometry platforms, preferably UPLC-MS/MS
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Prior research experience preferred. Basic knowledge of T cell biology, tumor immunology, antigen presentation, T cell receptors, tumor antigens, immunotherapy, and bioinformatics processes for genomic
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knowledge of T cell biology, tumor immunology, antigen presentation, T cell receptors, tumor antigens, immunotherapy, and bioinformatics processes for genomic and transcriptomic research is preferred
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in neurodegeneration. Strong background in bioinformatics and understanding of molecular biology. Strong analytical, organizational, and time-management skills. Oral and written communication skills
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neurons using multi-omics, cis-regulatory variants will be mapped onto these enhancers and then their function determined by Massively Parallel Reporter Assays (MPRA). The research will involve stem cell
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the following are required: • Excellence in structural biology • Excellence in programming and high-performance computing • Excellence in bioinformatics • Excellence in evolutionary theory Additionally
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 12-Apr-26 Location: New Brunswick, New Jersey Categories: Academic/Faculty Computer/Information Sciences Internal
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. Performs advanced signal processing and time–frequency analyses of neural recordings. Develops and implements computational pipelines using MATLAB, Python, or similar platforms. Leads manuscript preparation