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Provides technical support as it relates to Qlik Sense, Fusion pages, tools developed by the Knowledge Technology Analyst and also as a backup to the Technical Services Team (as needed.
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Matt has deep expertise in computer graphics and machine learning, and previously led the engineering team at Operator. Enable the Facet team to easily develop and deploy new machine learning capabilities at scale.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Our curriculum guides K-5th grade campers to design and build impressive, STEAM-based projects such as a working handheld vacuum, a sturdy pinball machine or a sit-on rocking pet — all made from everyday materials like cardboard, paper cups, and craft foam.
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Experience with machine learning techniques and predictive modeling. As a Senior Marketing Data Analyst at CircleCI , you will play a crucial role in shaping and enhancing our marketing strategies through data-driven insights.
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
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In this role, you will develop solutions and execute complex initiatives that leverage real-world data (e.g., electronic medical records, biomedical imaging, time-series data, surveys/questionnaires, and text notes) to address challenging computational problems alongside partner scientists in epidemiology, statistical genetics, computational biology, and machine learning.
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Insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines. The heart of insitro's strategy is the combination and application of machine learning to disease biology at scale, and novel analyses from clinical and cellular datasets that address key shortcomings in the target discovery and drug development process.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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Create strategies and blueprints that use machine learning to improve operations and refine processes (procure-to-pay, order-to-cash, record-to-report) Underpinned by technology, data, analytics, AI, change management, talent and sustainability capabilities, our Strategy & Consulting services help architect and accelerate all aspects of an organization's total enterprise reinvention.
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For this, Earthjustice seeks a skilled and visionary Chief Technology Officer (CTO) to join its leadership team and lead the evolution of the Information Technology (I.T.) department from an operational support function to a strategic business partner.
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The candidate is expected to have strong collaborative skills to ensure robust partnerships with biologists, antibody discovery and engineering & bioanalytical scientists to advance ADC projects.
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Bachelor’s degree in Technical, Business, or Healthcare; Computer Science, Information Systems, Healthcare Informatics, Business required. Minimum 4 years of information technology experience in a clinic setting required.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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We are seeking a Manager to guide, mentor, challenge, and develop the Core Data Engineering team within the Disney Entertainment & ESPN Technology. Bachelor’s degree Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study in computer science, EE or other quantitative subject area.
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