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We apply a multidisciplinary approach to our research and actively collaborate with virology, cell biology, genomics, proteomics, microscopy, and data science teams at the CZ Biohub San Francisco.
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Hyper is seeking a dedicated Applied Machine Learning Engineer with an expertise in 3D graphics, animation, motion capture, and computer vision. [Full Time] Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions) at Hyper Online (United States) | BEAMSTART Jobs Machine Learning Engineer (Generative 3D & Computer Vision for AI Companions.
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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 1 month ago - UpvoteDownvoteShare Job
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs)-Respiratory (COPD/Asthma) across the aligned geography.
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Bachelor’s with 5+ years or MS / PhD with 1+ years in a medically-related field with a quantitative focus (public health, health economics, biostatistics) or in in a quantitative field (computer science, statistics, computational biology, biomedical engineering.
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Bachelor's or Master's degree in a relevant field, such as Human-Computer Interaction, Human-Centered Design, Anthropology, Cognitive Science, or Psychology. Extensive experience providing deep insights through compelling visualization and storytelling through data.
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B.S. or M.S. in Computer Science or a related technical field or equivalent practical experience. It’s the first and only personal training solution that can track your motion and use that data to give you a richer and more effective workout in live and on-demand classes.
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The candidate must be a computer systems analyst, computer programmer, software engineer, or other similar worker in the computer field performing the duties described below; The application of Data Architect analysis techniques and procedures, including consulting with users, to determine hardware, software or system functional specifications.
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Have a Bachelors or other advanced degree in a quantitative discipline: statistics, operations research, social science, computer science, engineering, mathematics, economics, etc.
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Minimum requirements include a Bachelor's degree from an accredited college or university in criminal law, public policy, sociology, political science, communications, journalism, finance, economics, accounting, computer science or a related field.
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You will bring strong analytical capabilities and communication skills to collaborate with internal and external players to define and execute technical projects in partnership with our data science and engineering teams.
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Undergraduate degree in Human-Computer Interaction, Psychology, Anthropology, Computer Science, Cognitive Science, or a related field OR comparable UX research experience. Graduate degree in Human-Computer Interaction, Psychology, Computer Science, Cognitive Science, Business or a related field.
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The Cash App Data Science (DS) organization is growing and we are looking for a Data Scientist to join the team, embedded within our Sales and Account Management domain. A graduate degree in statistics, data science, or similar STEM field with 6+ years of experience in a relevant role.
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The individual will report to and be guided by one or more project managers and senior technical staff in the execution of field work at projects sites, and assist with gathering and analyzing geological, hydrogeological, and geochemical data in both the field and office settings.
$63,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Use appropriate machine learning and statistical methods to gain insights from our experimental data and publicly available proteomic, transcriptomic, and genomic resources. Effectively use public datasets and guide generation of internal experimental data to characterize and evaluate locational protein targets.
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computer science data jobs Title: senior engineer Company: Epsilon in San Francisco, CA
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