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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data. A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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The Data Scientist will oversee the development of our machine learning pipeline to support operational analytics, including enhancements to our NLP processes and risk stratification algorithms.
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The work involves analysis and performance improvement of our Xfinity Wi-Fi networks hyperscale , using state of the art optimization techniques, machine learning, specification and use of wireless measurements, and analysis of network performance, building business insights that could help create future deployment strategy.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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The ideal candidate will have an interest in biomedical research, be enthusiastic and highly motivated to participate in team science, have strong computing skills including coding in Matlab/Python/R, and experience in machine learning methods.
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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. New York City (Hybrid On-Site): $161,900 - $184,800 for Senior Machine Learning Engineer.
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FullBloom is actively seeking a highly skilled and experienced sales professional to join our team as a Solutions Engineer - EmpowerU for our Catapult Learning K-12 line of business. EmpowerU, a Catapult Learning service, provides evidence-based programs that improve motivation, resilience, and mental health.
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In this role, you will collaborate with ML researchers, technical artists, and simulation engineers to build realistic, accurate and detailed 3D models using machine learning from a variety of data sources.
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Familiarity with machine learning, model development and related AI techniques, including supervised and unsupervised learning, natural language processing, and predictive modeling.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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Expertise in machine learning techniques and their application to biological data. Description Job Responsibilities:We are seeking a highly motivated and experienced individual to help coordinate the computational core within the Machine Biology Group/de la Fuente Lab. As the Computational Core Scientist, the candidate will play a pivotal role in advancing our cutting-edge research at the intersection of computational biology and ground-truth experimentation.
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Founded in 1976, FullBloom annually supports more than 170,000 children and 25,000 educators in over 1,100 school districts across three divisions, Catapult Learning, Specialized Education Services, Inc. (SESI), and Little Leaves Behavioral Services.
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Knowledge of any of the following is a plus: visual inertial odometry, LiDAR, vision-based SLAM, machine learning. For all positions, experience in any of these areas is a plus: robotics, autonomous vehicles, LiDAR, radar, cameras, aerial robotics, 3D mapping, machine vision, sensors, SLAM.
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machine learning jobs Title: scientist Company: National Geospatial Intelligence Agency in Philadelphia, PA
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