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DNA nanoparticles for biomedical imaging and therapeutic delivery. The research assistant will lead multiple funded projects focused on nanoparticle sequence design, structural optimization, and
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of Genetics, Biology, and Chemistry, Stanford University The Babu Group uses data-driven approaches to understand sequence-function relationships in intrinsically disordered proteins and structure-function
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malignancies with a primary focus on lung cancer. The lab has established the use of multiple high-throughput screening technologies, genomics, proteomics, epigenetics, clinical samples, and animal models
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opportunities Requirements: Ph.D. in Biology, Physics, Computer Science, or a related field with prior expertise in: Genomics, population genetics, and evolutionary biology Sequence alignment and next-generation
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and oral communication skills Preferred Qualifications: Nice-to-Have Experience with multiple nucleic acid sequencing technologies (Illumina, Oxford Nanopore, PacBio). Familiarity with bioinformatics
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Professor Arbel’s lab in the context of a grant focused on developing multi-modal causal deep learning models to predict future disability progression and treatment response in Multiple Sclerosis
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phenotypes of interest using Next Generation Sequencing, Systems Biology, and other approaches. You will be expected to integrate with technical support staff, as well as expert collaborators in microbiology
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Consulting Services. This position focuses on research that aligns with TDAI’s strategic directions in foundations of AI and data science, responsible data science, health and AI, and environmental resilience