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Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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Education:Masters degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 - 7 years experience in data sciences. Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms.
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Statistical methods (e.g. Adaptive designs, Bayesian methods, AI/machine-learning, synthetic control, predictive modeling. advanced and novel statistical/analytical modeling and simulations to drive statistical innovation and Machine Learning in Clinical Development.
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You will propose and develop new modeling frameworks (e.g. based on machine learning techniques) for predicting the response of complex systems to conditions including but not limited to mechanical, thermal, chemical, and electromagnetic stimulus.
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with business domain experts and data scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
$125,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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CPB is an exciting and fast-paced engineering center combining predictive computational modeling, machine learning, and experimental biology to develop medical countermeasures.
$159,324 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Senior Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.
$199,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking an experienced, hands-on Principal Engineer with a strong background in Machine Learning applied to complex spatial computing, image and video processing, and visualization applications.
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Knowledge/Experience: Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 1 years of experience or Bachelor’s degree and 3 years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
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Machine Learning Engineer New York City – IN PERSON $175,000 - $200,000 + Equity Harnham is partnered with a notable high-growth technology company at the forefront of radio spectrum and wireless signal analysis.
$80 - $90 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python, Java or Perl- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree- 5+ years’ experience with modeling languages and tools like PyTorch / TensorFlow, R, scikit-learn, numpy, scipy, etc.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ability to use Autodesk Inventor CAD modeling software to design parts, weldments and bolt-together assemblies. The Mechanical Designer (R&D) is predominately a machine design detailing role.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. Qualifications Possession of a terminal degree in Bioinformatics or analogous field with at least ten years of experience in computational biology, predictive modeling of biological systems, and transcriptomics and integrative multi-omics analysis.
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Work at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery.
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machine learning applied mathematics predictive modeling jobs Title: technology in Anoka, Minnesota
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