The institute is dedicated to the application, understanding, collection, and risks of data and the development of machine learning and artificial intelligence systems across a range of critical and emerging fields, from neuroscience and precision medicine to climate resilience and sustainability, public sector innovation, and the social sciences and humanities.

Participants in the Technology Track will also learn about cutting-edge technology, including, but not limited to, artificial intelligence, machine learning, algorithmic trade engines, pricing models, digital banking, advisory services, and cloud computing.

The Johns Hopkins Center for Data Science in Emergency Medicine (CDEM) is seeking a dynamic individual for the position of Scientific Software Engineer w/ AI Concentration , with a focus on machine learning, and specifically artificial intelligence (AI.

Some examples of our current research projects include evaluation of pre-operative localization techniques in the breast and axilla and evaluation of artificial intelligence applied to breast imaging triage, characterization and diagnosis.

Build capabilities in key technologies that enable tax professionals for client service delivery such as artificial intelligence (AI), Alteryx, Power BI, and more. Ability to learn and navigate technologies such as artificial intelligence (AI), Alteryx and Power BI.

Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.

Statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.

Provide project coordination and management across various platforms not limited to cloud, mobile, Salesforce, and innovative/emerging technologies initiatives such as Robotic Process Automation (RPA) and Artificial Intelligence (AI) based solutions.

By harnessing cutting-edge technologies such as artificial intelligence, cloud computing, cybersecurity, and data analytics, we pave the way for a new era of innovation, establishing ourselves as the foremost advisor in the domain of data-driven IT modernization and business consulting.

With 110 Innovation and R&D design centers globally, the client specializes in disruptive technology spaces such as 5G, Artificial Intelligence, Collaborative Robots, Digital Factory, and Autonomous Transport.

The Summer Program includes training on internal audit fundamentals and Morgan Stanley's audit methodology, engagement with senior leadership, cross-divisional networking opportunities, peer mentorship, community service opportunities, and a group project in which Summer Analysts present what they have learned through the program to a broader audience.

Experience with writing requirements for Artificial Intelligence (AI) based Chatbots, Robotic Process Automation (RPA), or any cutting-edge technological solutions. Experience with writing requirements for Artificial Intelligence (AI) based Chatbots, Robotic Process Automation (RPA), or any cutting-edge technological solutions.

With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. Understanding of data concepts and platforms like Snowflake, Databricks.

Harnessing data, machine learning and artificial intelligence (AI), the Division brings over 50 years of domain expertise delivering solutions designed to improve energy, process and production efficiency, as well as reduce risk, operational cost and capital cost, while minimizing waste for customers, from project start-up and throughout the entire plant lifecycle.

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI.