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Duties/Responsibilities:- Calibration of dose meters (including dosimetric inter-comparisons for QA) and radiation equipment (accelerator monitor unit calibration) Beam data acquisition for treatment planning- Preparation of data for treatment planning systems Development/improvement of dose measurement systems and protocols and software for dosimetry purposes (including spreadsheets and databases)- Ensures compliance with Federal, State and organizational regulations for radiation safety.
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Through advanced digital engineering, technology solutions, and data-driven digital experiences, we create exceptional and efficient business impact and help our clients win. Experience working with data science tools and frameworks (e.g., TensorFlow, scikit-learn, PyTorch) is a plus.
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NGS (next generation sequencing ) data formats (e.g. Bam, Fastq,) and Data pipelines (WGS, Broad GATF, nf-core. High Dimensional data interpretation and visualization systems (Mode, Tableau, Looker, Streamlit, Plotly.
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The successful candidate will provide scientific and technical overview for tissue-based methods that span sample processing, assay development, whole slide scanning, image QC, analysis, and data reporting.
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Ability to define and develop test procedures and to perform design verificationSuperior written and verbal communications skillsWhat will set you apart:Experience designing for medical equipmentSignificant experience designing circuits for motion control systems with motor drivers and sensorsExperience with high power (multi-kW) power distributionFighting cancer calls for big ideas.
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Tech Lead for a team of 4 or more engineers in Data technologies. This role will help drive the operational planning and success of Data Availability, Engineering, and Operations while also championing new technologies and methodologies which lead to more efficient Data ingestion, model training, serving, and utilization.
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Participate study team meeting to represent the Statistical Programming function to support or lead the study, focusing on data integrity, collaboration and on-time deliverables. + Interact with members of project teams, statistician and data management personnel to perform statistical programming activities.
$160,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Join a highly skilled data science team to solve challenging problems and deliver scalable solutions in game development, publishing, and live-ops. Experience in one or more of the following areas: machine learning, statistics, deep learning, reinforcement learning, experimentation, NLP, computer vision, recommendation system, and other data science domains.
$24.8 - $57.69 an hourFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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Essential requirements: Ph. D. in Computer Science, Data Science, Electrical Engineering, Mechanic Engineering Mathematics, or Physics with some research background in the area of machine learning, natural language processing, or software engineering.
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We are on a mission to revolutionize tennis and pickleball through technology and data. Lead, mentor, and inspire a team of analysts to drive excellence in data analysis, reporting, and visualization.
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Working with Oracle Exadata, Golden Gate, RAC, ASM, Data guard and RMAN. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
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Our architecture is based on photonics which gives us the ability to produce our components using high-volume semiconductor manufacturing processes, the same processes that have been applied in telecommunications and data center applications for decades.
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The company, through its deep understanding of key IT industry drivers such as security, cloud, data management and IoT, can address customer priorities such as revenue growth and business, operational efficiency, innovation, risk and compliance, data governance and sustainability.
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In this role, you will collaborate with distinguished engineers to solve interesting and challenging problems in ADAS/AD. We are currently collecting many Terabytes of data for the purpose of autonomous driving operations.
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big data jobs Title: technology lead in Palo Alto, CA
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