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If you are a diligent and committed student looking to gain practical experience in the field of data analysis and automation in polymer science, we encourage you to apply. The student will implement Python and other programming languages (e.g., MATLAB, R) to prepare and analyze data generated from several characterization techniques, such as differential scanning calorimetry (DSC), thermomechanical analysis (TMA), dynamic mechanical analysis (DMA), and mechanical testing.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Post-graduate degree (PhD or MD, completed or near completion) in biomedical data science, informatics, computer science, engineering, statistics, computational biology, or a related field, with a background or interest in imaging.
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We are expanding in data science to provide the best information possible utilizing the latest techniques in Machine Learning (including Deep Learning, Neural network). , statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Responsibilities:Enterprise Data Engineering Delivery:Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
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Qualifications · Bachelor's degree in a STEM major or with STEM coursework learned in associated majors (Actuarial Science, Computer Science, Data Engineering, Data Science, Mathematics, Applied Mathematics, Statistics, Finance, Economics) · 1-3 years of Property-Casualty insurance work experience preferred.
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Spatial Transcriptomics Post Doctorate Histology and Microscopy (Crop Science) Establishes/adapts and optimizes specimen preparation protocols for evaluating spatial transcriptomics technologies in plant, insect, and other tissues as relevant for Crop Science use cases.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field and 6 years of experience in predictive analytics or data analysis.
$158,960 - $303,830 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 6 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
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The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git. Must have a Master’s Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field.
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Subject Matter Depth and Breadth with some of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep Learning Concepts; Bayesian Estimators.
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Job Req ID: 113888 Sr. Special Events Coordinator Johns Hopkins University recently announced a major new investment in data science and the exploration of artificial intelligence, at the heart of which is a new Data Science and AI institute.
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Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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data science jobs Company: Mcdonald's in AR, France
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