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Data Science | Machine Learning | Statistics | Mathematics | Health-tech | Electronics | Wellbeing | Applied Science | Generative AI | Artificial Intelligence | Multimodal | Speech | Audio | Text Extraction | Stakeholder Management | Technical Leadership | Natural Language Processing | NLP | Computational Linguistics.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Advanced Analytics team at BeiGene is seeking an Associate Director, Data Science with a passion for crafting and implementing predictive modeling and statistical analyses to develop comprehensive solutions and insights that directly impact patient lives and propel BeiGene's growth as a data-driven organization.
$195,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Applying synthetic biology, genomics, bioinformatics, data science, and fermentation, we harness the most beneficial molecules from plants to create active pharmaceutical ingredients in more controlled and economical ways.
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Operated by Stanford University on behalf of the DOE, SLAC develops and operates some of the world's premier science facilities, including the first hard X-ray free-electron laser. Researchers from SLAC and other premier institutions around the world use our facilities to investigate some of the most exciting and important problems facing our society in areas such as clean energy, environmental science, biomedicine, and advanced materials.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields.
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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.
$205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our summer programs include public speaking camps, college admissions prep programs, science camps, summer acting camp, writing camps, computer camp, leadership camp, video production camp, and college tours.
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The ideal candidate will have a strong background in intellectual property law, particularly in patent prosecution, and a technical background in electrical engineering, computer engineering, applied physics, or computer science.
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The Energy Science & Engineering Department, Stanford Doerr School of Sustainability, and Stanford University value faculty who foster an inclusive academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and outlooks.
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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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We are looking for a Technical Sourcer for a 6-month contract, with a strong potential for conversion to a full-time position based on business need and performance, to join our talent acquisition team in the US. In this role, you will be instrumental in building and scaling our data science and engineering teams.
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The position’s primary role is to effectively lead and manage projects and operational activities within the Veeva CRM platform that is used by various functional groups such as Sales, Marketing, Market Access and Medical Science Liaisons.
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As Co-Founder and Chief Investment Officer / Chief Operating Officer, you will play a crucial role in building and running Quantum Equilibrium Science Fintech company. All aspects of our wealth management experience will reshape with Quantum Equilibrium Science.
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If you have knowledge of electrical engineering, computer science, physics, applied math or similar disciplines gained through education or work experience, we would be excited to discuss this opportunity with you.
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Masters degree in a STEM field (e.g., statistics, machine learning, computer science, physics, engineering); PhD preferred. Execute against initiatives on our R&D roadmap, including investigations of new approaches, architectures, and paradigms for advancing the state of the art in Data Science, Computer Vision, and Machine Learning techniques for geospatial data.
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science job in Foster City, CA
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