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, schizophrenia patients) and levels of analyses (local- and large-scale circuits). This is a unique opportunity to learn about team science approaches. Postdoctoral researchers are given the opportunity
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Monitoring Drift Chambers (MDT), and in the Event Filter track trigger (EFTracking). The group applies novel Machine Learning tools and techniques to both analyses and trigger upgrades, and leverages FPGA and
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brain evolution. We employ a multifaceted strategy to bridge developmental neurobiology, RNA biology, and evolution. Learn more about our interests, motivations and discoveries: https://sites.duke.edu
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data
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, who are interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI
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at the Lewis-Sigler Institute for Integrative Genomics and the Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine
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clinical data to better characterize disease processes. ● Clinical and multi-omic data fusion: Build machine learning pipelines that integrate electronic medical record data, genomics (animal and microbial
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. Candidates should submit a cover letter, CV, research statement, teaching portfolio, and writing sample via Interfolio at https://apply.interfolio.com/175940 . We are seeking candidates who can demonstrate
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Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/31583 ">https://academicjobsonline.org/ajo/jobs/31583 ). Qualified candidates should submit a short cover letter, curriculum vitae, and contact
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found at https://postdoc.wustl.edu/prospective-postdocs-2/ . For information on the Schwartz lab, please visit https://djschwartzlab.wustl.edu/ . Trains under the supervision of a faculty mentor including