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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions. A cornerstone of this roadmap is the acceleration of its data organization and adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
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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.
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BigHat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology. BigHat integrates a wet lab for high-speed characterization with machine learning technologies to guide the search for better antibodies.
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As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda.
$143,000 - $204,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Experience with machine learning.
$196,000 - $278,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Absorb machine learning literature, particularly in natural language processing, and quickly prototype new techniques by engaging with relevant research papers and textbooks. Currently enrolled in or a recent graduate of a PhD or Master degree program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
$35 - $50 an hourFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. Qualifications:· Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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Employ a broad spectrum of techniques in machine learning and statistics, such as regression, classification, ensemble methods, and deep learning. Deep understanding of statistics, machine learning, deep learning, and NLP/NLU, with practical experience in applying these technologies to real-world problems.
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Theoretical knowledge in the field of computer vision, machine learning, and image processing, or ISP sensors. We are seeking an Embedded CV Software Engineer who is excited about introducing groundbreaking capabilities in the fields of computer vision, machine learning, and imaging, through mapping and optimization of a complex embedded C.
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Statistical analysis experience, including but not limited to experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
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Successful candidate will exhibit depth and acumen in the following key areas: Create and Execute a Talent Strategy - Vice President/SVP, Human Resources will be responsible for talent acquisition, employee engagement, total rewards, learning and development, organization development & effectiveness, diversity & inclusion and HR operations.
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Collaborate cross therapeutic areas to deliver impact on research programs, examples including but not limited to statistical modeling of TCR repertoires, deep learning for peptide-MHC-binding and antigen epitopes predictions, etc.
$221,170 - $286,220 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Absorb machine learning literature, particularly in NLP, 3D graphics, 3D motion, and quickly prototype new techniques by engaging with relevant research papers and textbooks. Currently enrolled in a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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A constructivist school, Nueva is known for its distinctive inquiry-based interdisciplinary studies, project-based learning, and pioneering work in social-emotional learning and design thinking.
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machine learning jobs Title: learning architect Company: Optello in San Mateo, CA
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