217 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United States
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trouble shooting. Support researchers training on best practices for data management and open science. Socialize research support services to scientists of diverse backgrounds. Perform outreach, teach
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Senior Bioinformatics Research Scientist - Northcott Lab in the Center of Excellence in Neuro-Oncolo
, epigenomics, single-cell, spatial 'omics, machine learning, and artificial intelligence. Experience in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing
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computational analysis, deep learning, and calcium imaging–based approaches. We work primarily with the model system C. elegans and apply both computational and experimental methods to uncover fundamental
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages
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researcher with a strong background in robotics, mechatronics, systems engineering, machine vision, AI/ML systems, or autonomous control to join our collaborative neuroengineering efforts. This person will
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, police organization, military branch, conflict counselling) required. Some experience in data entry and working in emergency situations and fast pace stressful environment, standing for long hours and
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survivorship programs in the world. We provide advanced, specialized training on the spectrum of late effects of cancer therapy. You will learn to recognize at-risk cancer survivors by performing risk-based
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development of modern AI and machine learning techniques. The successful candidate will have a shared appointment in both the Department of Civil and Environmental Engineering (CEE) and the Schwarzman College
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, computational biology, systems immunology, machine learning, functional genomics, molecular and single-cell biology, metabolic network and whole-cell modeling, or innovative methods for generating, analyzing, and
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(EHR), health information exchanges, and data analysis software. Experience with health IT innovation, including working with artificial intelligence, machine learning, telemedicine, or mobile health