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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Fox Cable Network Services, LLC seeks a Data Scientist to utilize background in data analysis, data visualization and machine learning/artificial intelligence to build and implement solutions and utilize the best practices to keep FOX ahead of game.
$159,650 - $175,615 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Develop machine learning algorithms using Python that relate to HR People Operations data forecasting and create models that can predict HR metrics such as employee churn, absenteeism, and performance.
$117,200 - $175,800 depends on experienceExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using advanced artificial intelligence and machine-learning technologies, Cedars-Sinai Cancer Center researchers can create a computational model of the patient, known as the "Molecular Twin." Why work here.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
$34 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design and implement high-quality training data acquisition efforts to drive next-generation machine learning algorithms. Solve high-impact problems in content creation, including virtual production, VFX, and post-production, by applying computer graphics, computer vision, and machine learning approaches.
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Mentor team members and stay current with the latest research to advance organizational knowledge in computer graphics, machine learning and related technologies. Drive the ideation and development of innovative solutions, leveraging your deep understanding of 3D graphics and machine learning.
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Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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Under the direction of the Director of Academic Support and Advising, the Learning Specialist in the Office of Student Affairs at Kaiser Permanente Bernard J. Tyson School of Medicine is responsible for ensuring support in the area of academic skills and academic advising programs to all medical students.
$109,600 - $141,790 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Using advanced artificial intelligence and machine-learning technologies, Cedars-Sinai. experience as Oncology Nurse Practitioner (preferred). Using advanced artificial intelligence and machine-learning technologies, Cedars-Sinai.
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A bachelor s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included a minimum of 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.
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Familiarity with machine learning algorithms and data mining techniques. Experience with data visualization tools such as Microsoft Power BI or similar toolsExperience with spatial analytical tools such as ESRI ArcGIS and related products.
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The laboratory is devoted to the study of neuroplasticity and motor learning in healthy individuals and individuals after stroke. The laboratory focuses on using big data approaches to neuroimaging and genetics, using behavioral and non-invasive MRIs to examine brain-behavior relationships after stroke.
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10 years of professional experience in software engineering, data engineering, machine learning, or related field. Lead AWS Data Engineer with DBT/Redshift experience.
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machine learning jobs Title: data engineer analyst in Los Angeles, CA
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