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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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students, and generate reports or publications. Qualifications Required Qualifications: -PhD (must have defended thesis) -NK cell biology and gene editing. -Experience with CRISPR editing also required
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Advancing the Frontiers of Cell-based therapies and Synthetic Biology Our group applies state-of-the-art synthetic biology principles to engineer human cells and create next-generation cell-based therapies
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applications for a fully funded postdoctoral associate position. This position, available immediately, focuses on developing machine learning and deep learning methods for analyzing large-scale single-cell DNA
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bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing
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a model system, research in the Stahley Lab focuses on understanding the cell-cell interactions that establish collective cell polarity. The successful applicant will be expected to employ cell and
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Campus. The research program uses mammalian cell culture and microscopy‑based approaches to study aging, stress response, cancer, and vesicle trafficking, with strong translational relevance
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contamination of biologics, including cell and gene therapy products and xenoproducts, poses significant clinical risks. To overcome current diagnostic limitations, our laboratory integrates investigations
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, an interest in mapping the specialized translation landscape in hosts, and a willingness to learn, teach, and troubleshoot techniques in a team environment. Responsibilities 60%- Virology assays and cell