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Sargent College combines outstanding faculty and cutting-edge research to provide superb education and clinical experiences. College Areas of Research Excellence include psychoacoustics, neuroscience, understanding the mechanisms underlying speech, voice and language disorders, neurological disorders, neuro-rehabilitation, neuro-habilitation, pediatric rehabilitation, musculoskeletal health, mental health and well-being, public health, nutrition, health equity, and integrated health technology and data sciences.
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The successful candidate will be responsible for developing and implementing computational strategies to support cutting-edge research and development in the fields of protein science, antibody discovery, proteomics, systems biology, scientific databases, machine learning, and others.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Collaborate on technical vision to accelerate product impact through cutting-edge LLM innovations. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build code and provide documentation with ways of working to maximize time to value, re-usability, and scalability.
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Being part of BHCA Team at ZS will be an opportunity for you to work on cutting-edge solutions including areas like AI SaaS products, Advanced analytics & AI frameworks, Generative AI applications, Data Engineering frameworks and working in a cross-capability Business-Tech teams utilizing new age data sources to shape innovations across multiple areas, for our clients and the broader ZS community.
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You will work closely with data scientists, data engineers, and platform engineers to scale the Vertex Data Platform, which is Vertex's cutting edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics.
$210,120 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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If you’re interested in working on the cutting edge of IT innovation, sales, engineering, operations, administration, and more, Zones is the place for you! Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done.
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Do you want to leverage your skills in data science and machine learning to create cutting-edge solutions that help athletes perform better and prevent injuries? A bachelor’s degree in Computer Science, Data Science, or a related field.
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As the Senior Director, Data & Analytics, you will lead the current Global Data and Analytics practice across multiple geographies, driving the strategy, growth, and delivery of data-driven solutions for clients, leveraging cutting-edge analytics, data engineering, and data science technologies.
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Your responsibilities include utilizing cutting-edge technology for situational awareness, employing sophisticated threat detection techniques, and delivering timely warnings to precent aerial attacks.
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Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud & Data Center, Networking, Security, and Managed/Professional/Staffing services.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We specialize in cutting-edge Big Data, Machine Learning, and Custom Software strategy, analysis, architecture, and implementation solutions. Experience with predictive analytics, data mining, pattern recognition.
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Our EPM team helps apply cutting-edge technology and techniques to bring solutions to our clients. A minimum of two years’ experience in providing complex consultative services in the following focus areas: master data management, planning, budgeting, forecasting or BI reporting.
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Technical Expertise : Extensive experience in the complete ML development lifecycle with machine learning frameworks (e.g., TensorFlow, PyTorch and Lightning), statistical modeling, data science, and computational biology tools.
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This internship offers an invaluable opportunity to gain hands on experience working within cutting-edge Deep Learning and clinical trial teams, providing a solid foundation for a future career in healthcare technology, clinical research, or data science.
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