Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
. Assist in deployment of CV solutions on cloud or edge platforms with basic interface support for end-users. The candidate is to liaise and communicate with any internal or external stakeholders to ensure
-
the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Where to apply Website https://jobs.unibas.ch/offene-stellen/phd-position-ai-driven-pathways-to-health
-
diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees
-
qualified talents. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Trustworthy AI, secure and reliable systems, cloud computing, cryptography, network
-
. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students’ education in Greater Minnesota and prepares them to become exceptional
-
the existential challenge to the humankind: excessive energy consumption by data-intensive technologies such as Artificial Intelligence, Internet of Things and cloud computing. Successful candidates will hold a PhD
-
identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a background
-
experimental security (FSec Group: https://vu.nl/en/about-vu/faculties/faculty-of-science/more-about/found… ), with a focus on Cloud computing, the use of data analysis and AI techniques to quantify, evaluate
-
industry (e.g., AI integration, cybersecurity trends, and cloud computing). Utilize a variety of teaching methodologies to accommodate diverse learning styles. Hold regular office hours to provide individual
-
. Duties Within the Data Science Section, you will be responsible for: supporting the definition and implementation of the architecture for a hybrid-cloud science platform (expanding ESA Datalabs - https