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the use of machine learning and AI approaches • Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets Requirements • The successful applicant will
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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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diseases, Genome Biology, 2024 S. Hudaiberdiev et al., Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits, PNAS, 2023 S. Li et
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computational models, applying statistical and machine learning methods, and integrating data across modalities to generate novel scientific insights. The Postdoctoral Fellow will lead manuscript preparation
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computational models, applying statistical and machine learning methods, and integrating data across modalities to generate novel scientific insights. The Postdoctoral Fellow will lead manuscript preparation
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Date: Start date will be mutually agreed upon between program leaders and the applicant. Group or Departmental Website: https://med.stanford.edu/autismcenter.html (link is external) How to Submit
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Appointment Term: Open-ended Appointment Start Date: ASAP Group or Departmental Website: https://hinshawlab.stanford.edu/ (link is external) How to Submit Application Materials: Please submit your application
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and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive
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flexibility. Responsibilities include conducting behavioral neuroscience experiments—including vapor self-administration and operant conditioning tasks (such as attentional set-shifting and reversal learning
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partnerships to produce master learners across the lifespan. To learn more about ASU, visit http://www.asu.edu. Essential Duties Design and implement digital platforms and research protocols for simulation and