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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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The responsibilities consist of but not limited to: wafer data review and disposition; create & modify recipes and set up APC on various CMP tools; communicate to the primary process/metrology/integration engineers and production line; understand the application & reliability of metrology tools such as AFM, topography, SEM/FIB/TEM, etc.
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The Staff Statistical Analyst contributes to the analysis of clinical study data through their statistical programming expertise. Experience with vcf, CDISC, SDTM, and ADaM compliant data sets is strongly desirable.
$154,000 - $204,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Opportunities exist to collaborate with Stanford investigators at the forefront of innovation in fields highly relevant to pediatric IBD and celiac disease including immunology, microbiology, epithelial biology, computational biology, and data science.
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As a Co-Op, you will be under the guidance of the Director of Innovation Management & Data Science and will be actively involved in the execution of technology and data science projects by participating in project teams and various site functions.
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Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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MS or Ph. D. in Machine Learning, Data Science or related discipline, e.g. Computer Science, Applied Mathematics, Statistics, Physics, Artificial Intelligence. 5 + years of experience with big-data technologies such as Hadoop, Spark, Flink.
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You will partner with qualitative UXR, data science, data engineering, and engineering, driving our understanding of users, the content we recommend, and how we match that content to users in both expected and unexpected ways.
$192,005 - $265,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Identify business problems and solve them by using various numerical techniques, algorithms, and models in Operations Research, Data Science, and Data Mining. Bachelor's or Masters degree in Operations Research, Supply Chain Management, Computer Science, Systems Engineering, Mathematics, Statistics, Quantitative Finance or related field and 5 years of work experience in any analytics-related occupation.
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Partner with cross-functional teams, including SMC Revenue Program, Sales, Marketing, Sales Operations, Data Operations, Partnerships, Measurement, and Data Science to achieve business goals.
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Computer Science, Computer Engineering, Artificial Intelligence and Machine Learning, Data Science. Master or PhD Candidate in Computer Science or related technical areas. Experience with one or more deep learning frameworks (Caffe, Caffe2, PyTorch, Tensorflow.
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Our teams are contributing to next generation autonomy and ADAS active safety systems through core algorithms, data-driven approaches, and efficient architectures. You possess an M.S., Ph. D., or equivalent, in Robotics, Control, Computer Science, Applied Mathematics, or other quantitative fields.
$140,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Associate of Science Degree from an accredited Physical Therapy Assistant program. Physical Therapy Assistant may spend approximately 10-20% of time sitting at desk or terminal entering data.
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Bachelor's degree in Computer Science, Engineering, mechatronics or mechanical engineering, or related field. Integrate MongoDB databases for tracking manufacturing data trends, empowering data-driven decision-making and predictive maintenance strategies.
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data science jobs in Newark, CA
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