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. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
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of Chemistry at the U.S. National Science Foundation (NSF) as part of the newly launched $10 million NSF–UKRI collaborative research initiative in quantum chemistry, which pairs leading U.S. and U.K. groups
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design through data work, analysis, and publication, with the goal of co-authored papers aimed at leading economics and interdisciplinary journals. Contribute to ongoing lab projects or priorities based
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Posted on Thu, 09/03/2026 - 16:23 Important Info Faculty Sponsor First name: Lynette Faculty Sponsor Last Name: Cegelski Stanford Departments and Centers: Chemistry Appointment Start Date: Late 2026
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in human genetics and population data to experimentally testable mechanisms using powerful genetic models. Projects will combine bioinformatics, genomics, genetics, and systems biology, with
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the sensitivity and information content of cell-free nucleic acid analysis, including ctDNA detection at very low tumor fractions and cfRNA-based readouts of tumor and host biology. A second arm applies these
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various computer programs. • A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Physiology, Biochemistry or related field. Required Application Materials: • Summary of previous
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, data science, applied mathematics, physiology, biostatistics, or a related field. Strong programming skills in Python and/or MATLAB. Experience analyzing physiologic signals, biomedical waveforms, time
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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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prostate growth, with therapeutic implications, using a combination of genomic, molecular/cell biology, and tissue culture approaches. They will train within a collaborative, multi-disciplinary environment