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In forging an affordable, accessible, accurate representation of Earth, our work has the potential to transform the face of dozens of fields, including autonomy, telecommunications, disaster relief, gaming, climate science, defense and construction.
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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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This position regularly leads marketing and communications activations in support of broader Food program objectives across workstreams including nutrition and behavioral science, sustainability, risk management, culinary, people operations, DEIand digital innovation.
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Quantum computing is anticipated to unlock the solution to otherwise impossible computational tasks, with potential impact across all of science and technology. With applications across climate, healthcare, energy, finance, agriculture, transportation, materials design and more, quantum computing will tackle some of the most urgent practical challenges we face, as well as deliver entirely new industries.
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The department’s research interests encompass the broad field of Otolaryngology and range from basic science to translational and clinical research. The Department of Otolaryngology — Head & Neck Surgery (OHNS) at Stanford University seeks a sensory biologist or clinician scientist (PhD or MD or equivalent) to join as a faculty member at the rank of assistant professor, associate professor or professor in the University Tenure Line, University Medical Line, or the Non-Tenure Line-Research.
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Have a PhD or Masters in computer science (focus on machine learning & data analytics), computational biology, or a related field or equivalent industry experience and at least 5-8 years of experience developing and applying machine learning methods.
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Degree must be in Network Engineering, Systems Engineering, Information Technology or related field (e.g., General Engineering, Computer Engineering, Electrical Engineering, Computer Science, Computer Forensics, Cyber Security, Software Engineering, Information Assurance, or Computer Security.
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Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent. Experience using circuit and EM simulation tools such as Ansys HFSS and Keysight ADS/Momentum, Cadence Allegro.
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Investigate, research and deeply understand both current trends and future forecasts in integrated marketing, brand marketing, experiential marketing, strategic communications and digital communications which may contribute to the continual improvement of the Compass at Google program marketing and communications strategy.
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While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.
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Come join CCRM Fertility, a global pioneer in fertility treatment, research, science, specializing in IVF, fertility testing, egg freezing, preimplantation genetic testing, third party reproduction and egg donation.
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Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering.
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Ph. D. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health sciences or related areasor related field, or equivalent combination of education, training, and experience.
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Our software combines AI, machine learning, and behavioral science to power best-practice solutions for settings across the hospital and system. Demonstrated experience in data modeling and transformation pipeline design and experience building for data science and analytics partner needs.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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science job Company: Boys Girls Club Of Moorpark And Simi Valley in Stanford, CA
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