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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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$338,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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MS (required) or PhD (preferred) in computer science / computer engineering / electrical engineering / Data Science / Machine Learning background. Solid coding skills with prototyping experience in data science and machine learning.
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The Division of Stem Cell Transplantation and Regenerative Medicine , in the Department of Pediatrics at Stanford University School of Medicine, is seeking a highly motivated and well-organized Life Science Research Professional 2 to perform basic functions and activities involved in research correlative to cell and gene therapy clinical trials, and independently conduct and analyze experiments to advance the projects.
$75,000 a yearRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with cloud-hosted systems and related tooling, including computing services AWS EC2, Google Compute Engine, container orchestration Kubernetes, Docker, and database and data warehouse platforms Amazon RDS, Google BigQuery.
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2+ years experience in building machine learning or deep learning models for large scale customer facing product or features. Your work will directly impact our customers in the form of products and services that make use of various machine learning, deep learning and language model technologies.
$222,200 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Across our work in Science, Education, and within our communities, we pair technology with grantmaking, impact investing, and collaboration to help accelerate the pace of progress toward our mission.
$134,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep understanding of energy storage technologies and their applications in utilities, commercial and industrial, community solar, microgrid, data centers, and remote community settings. This role will require a deep level of understanding of existing energy storage technologies such that you will be able to explain in depth the financial and product benefits and advantages of deploying this technology compared to competitive solutions.
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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.
$177,500 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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We use data science, genomics, synthetic biology and automation to discover potent, evolutionarily refined small molecules and their cognate targets from fungal genomes, and apply medicinal chemistry when needed to optimize these molecules into truly transformative medicines.
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0-2 years in the field of Quantum Physics, Applied Mathematics, or Applied Computer Science. Research focuses on testing and evaluating emerging quantum hardware, investigations of quantum mechanisms that may be used to provide a quantum advantage, development of new algorithms and software for quantum computing, and application of quantum computing to a range of real-world problems involving planning and scheduling, machine learning, and fault diagnostics.
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Utilize your deep understanding of cloud computing architecture to influence technical design and implementations, ensuring our solutions are scalable, reliable, and secure. Deep understanding of fundamentals of Computer Science and Programming Languages.
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Master’s degree in Computational Biology, Bioinformatics, Applied Mathematics, Computer Science, Electrical Engineering, or other quantitative field preferred. The ideal candidate would have a Masters or above in a quantitative field (computer science, applied mathematics, bioinformatics) as well as knowledge of modern molecular biology and genomics.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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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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computer science deep learning applied cloud computing jobs Title: applied researcher in Palo Alto, CA
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