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The Stanford University Protein and Nucleic Acid (PAN) Facility in the Beckman Center is seeking a Life Science Research Professional (LSRP2) to join our highly multidisciplinary group. Bachelor's degree in Biology or related scientific field and four years of relevant work experience; or Master s degree in Biology or a related scientific field and two years relevant experience; or PhD in Biology or related science field.
$68,000 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$150Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Remote friendly, hybrid compatible - we are hiring in our science hubs (Seattle, Bay Area, Silicon Slopes area of Utah), but we are remote friendly with optional weekly in-person days at a hub's local Wework.
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In Materials Science and Engineering, Metallurgy, Chemical Engineering, Electrochemistry, Corrosion or related fieldSpecialized knowledge of corrosion science with a strong background in electrochemical techniques is requiredExcellent verbal and written communication skillsAbility to work within project teams with a strong desire to contributeKnowledge of failure analysis and coating technology is desired.
$135,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ph. D. in a technical or health area (e.g. Computer Science, Biomedical Engineering, Electrical Engineering, Biophysics, biological science, or other related areas). We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory.
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Strong understanding of science and drug development, with specific expertise in nonclinical study design, preclinical CROs, data management systems, nonclinical study procedures, and statistical analysis methods.
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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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In this role you will work as part of a team to investigate broad materials science investigations of problems arising for our clients, particularly in the areas of product development, quality control, and product reliability.
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In this role, you'll play a key part in Robinhood's forward trajectory, collaborating closely with our adept Data Science and Engineering teams. Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing.
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PhD in computational biology, computer science, data science, physical science, statistics, or a related field with a minimum of 10+ years of relevant work experience. 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 Today - UpvoteDownvoteShare Job
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Quantum computing is anticipated to unlock the solutions to otherwise impossible computational tasks, with impact across science, technology, and business. Photonics and RF simulation tools such as Lumerical, HFSS, ADS, COMSOL, etc.
$172,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor’s degree from an accredited college or university with a major in planning, architecture, engineering, landscape architecture, natural resources, or social science, and five years of professional planning experience.
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The Department of Genetics is seeking an experimental or hybrid experimental/computational research associate in genomics (Life Science Research Professional 1) to join the Engreitz Laboratory to map the regulatory wiring of the human genome to discover genetic mechanisms of heart diseases.
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Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Derive novel and innovative data science, and statistical modeling solutions for applications within autonomous driving. Creativity and adaptability regarding data science approaches that provide safety case argumentation for an Autonomous Vehicle.
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science job in Palo Alto, CA
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