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Field
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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, bioinformatics, and cell signaling studies to elucidate protein interaction and modification networks and their roles in immune responses and disease mechanisms. We are particularly interested in candidates with
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in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome. Responsibilities Scientific visionRibosome
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of disease progression and injury. The primary research topics involve testing how homeostatic mechanisms allow functional neuronal mitochondria to exist far away from the cell body and how failure to maintain
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a machine learning model (foundational model) to propose protocols of sequential induction of transcription factors to generate desired cell subtypes. The project will be conducted in close
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We are recruiting a Post-doctoral Research Assistant to work on our research programmes on Therapeutic Targeting of Cell Senescence in Cancer and other age related diseases. This is a fixed-term
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biology skills Experience with single-cell RNA-seq analysis Experience with machine learning based methods Have evidence of scientific accomplishment via peer-reviewed publications Understanding of cancer
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on annotation, reconstruction, identification of the genome and characterization of cell states for each bacterial species. In addition, we will leverage a deep learning approach a powerful artificial
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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