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Responsibilities:- Carry out interdisciplinary research in quantum computational chemistry (such as Post Hartree-Fock method, quantum embedding method) and machine learning(such as Neural Network QMC);- Perform theoretical analysis on machine-learning-based quantum chemical models;- Conduct large-scale quantum chemical simulations (such as MPI, GPU acceleration) and verify the correctness and practicability of proposed models.
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PhD/MS in computer science, statistics, or computational science, with a focus on machine learning methods, or a PhD in a related field (e.g., computational chemistry or biology) with a strong emphasis in machine learning method development, and 10+ years of relevant experience.
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Advanced knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure Machine Learning, Hadoop, Hive (Apache), Informatica, Microsoft Azure, Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products or Operational Data Integration (OLTP.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Waters Global Research is looking for an energetic and creative machine learning engineer to join the team and help bring technologies in analytical instrumentation to the forefront of the industry.
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Demonstrated experience with and mastery of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.
$228,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. Contributions to open-source projects related to data science and machine learning.
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Our laboratory applies computational and machine learning methods to investigate the impact of seizures and abnormal brain activity on outcomes in pigs with cortical impact. The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers.
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Ideal candidates have a strong publication record in areas including artificial intelligence data mining, machine learning, natural language processing, and/or fields such as cognitive science, learning analytics, and psychometrics.
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We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! 100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company.
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Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem.
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Utilize statistical analysis, unsupervised machine learning, supervised machine learning, and deep learning as needed. Write scripts to integrate data, conduct exploratory data analysis to discover hidden trends, apply machine learning to train predictive models, and use the right combination of tools and frameworks to turn complex sets of disparate data points into objective answers that inform decisions.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Partner with scientific experts to evaluate and develop machine learning methods in various scientific domains, with an initial focus on partnering with chemistry and computational chemistry leaders to accelerate and enhance the discovery of small molecule medicines through improvements to the Design-Make-Test-Analyze cycle.
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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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machine learning jobs Title: intern Company: Bnp Paribas
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