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PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Advanced knowledge of clinical research, signal processing, time series analyses, EEG/ECoG/iEEG, advanced statistics, Python, brain stimulation therapies, neural modelling, biomarker development, and brain stimulation and recording techniques.
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Retail, Financial Services, Manufacturing, Technology, Artificial Intelligence, Machine Learning, Data Analysis, Healthcare, Natural Language Processing, Speech Recognition.
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Data center construction and engineering. Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Ph. D. in computational biology, systems biology, engineering, machine learning, or a related discipline, with 3+ years of working experience post graduation. insitro is a drug discovery and development company using machine learning (ML) and data at scale to decode biology for transformative medicines.
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Implement real-time cutting edge algorithms in signal processing, computer vision, and machine learning. 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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Build and help set direction across the entire machine learning development process to implement machine learning algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring.
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We have a strong preference for building our own backend technology, so you'll be implementing and working with the latest natural language processing (NLP) techniques and ideas. As a Software Engineering Manager, you will identify, hire and build a world-class team of Software Engineers, Researchers, and Data Analysts to define, drive and execute on the creation of the next generation of Lilt's data platform.
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Head of Machine Learning & Data Science (US/KR)Executive Director, Head of Data & AI Governance and Policy, R&DHead of Computational Science & Data Strategy, ResearchExecutive Director, Head of Data & AI Governance and Policy, R&DPlatform Head, Data & Software Engineering Visit the Career Advice Hub to see tips on interviewing and resume writing.
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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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Security wizard with 3+ years of experience within one or more areas: detections engineering, threat intelligence, endpoint hardening, device management, network/vpn/proxy/zero trust, XDR/EDR, DLP, insider threat processes, email security, forensic analysis, reverse engineering, data engineering, penetration testing.
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PhD in a field relevant to biomedical research (bioinformatics, biomedical engineering), or computer science (computer science, machine learning, artificial intelligence) or similar. The Division has 74 full-time faculty, 13 non-faculty academics, 38 clinical fellows, 8 post-doctoral research fellows, and over 65 research support and administrative staff, and 12 staff centrally for fellowship support, non-sponsored finance, HR, digital communications, and faculty administrative support.
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Familiarity with and knowledge of machine learning, natural language processing, text analytics, web data collection, and advanced data visualization is a plus. In addition, the Data Scientist II uses casework experience to identify and develop new capabilities and reusable code in areas such as text analytics, web data collection, data visualization, and machine learning and disseminate those capabilities within the firm.
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Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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machine language processing full time data engineering jobs in San Francisco, CA
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