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An undergraduate degree in a quantitative discipline (Economics, Statistics, Engineering, Applied Mathematics) You'll work with a team of world-class talent from Stanford GSB, Wish.com, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.
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Bachelor degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition.
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$177,000 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree in computer science, Physics, statistics, applied mathematics or an equal computational field. Work together with your Applied Science team to perform model development, research, testing and evaluation of existing and emerging NLP/ ML/ DL methods and models (incl.
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Education - Bachelor's degree in Molecular Biology, Biology, Chemistry, Applied Mathematics, Physics, Electrical Engineering, Computational Biology, Biostatistics, Bioinformatics, Computer Science or related discipline; postgraduate degree (Master's, PhD) is highly preferred.
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Designing and leading NERSC's strategic engagement with other math library and tool developers for supporting community development of applied mathematics libraries, including performance optimizations on advanced hardware such as Graphics Processing Unit (GPU) accelerator utilizing advanced programming models for expressing parallel data structures of relevance for applied math.
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Berkeley Labs (LBNL ) Molecular Biophysics and Integrated Bioimaging Division (MBIB ) has an opening for a Postdoctoral Fellow to jointly work with the Applied Mathematics and Computational Resea.
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Masters in Mechanical, Nuclear, Materials Engineering, Structural Mechanics, Materials Science, Applied Mathematics or related field. 3+ years of experience with Finite Element Analysis (FEA) required; APDL & Usermat (Ansys) or UMAT (Abaqus) experience strongly preferred.
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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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PhD / MSc Degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or similar quantitative field OR equivalent hands on experience. As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content.
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MS or Ph. D. in data science, computer science, statistics, applied mathematics, engineering, or economics. The Adobe Digital Imaging Data Science Team (Photoshop & Lightroom) is looking for a Data Scientist who is passionate about data and has the desire to provide an outstanding product experience for our customers.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively. Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases.
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Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or the equivalent, and a passion for solving challenging problems in Artificial Intelligence and Machine Learning.
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Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history.
$130,900 - $177,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence.
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applied mathematics jobs in Alameda, CA
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