Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
of Machine Learning and Statistical Data Processing. Candidates with expertise and a strong research interest in the following areas are highly encouraged to apply: Machine learning, Statistical data
-
Applications are sought for Ad Astra Fellow - Assistant Professor in Foundational Technologies and Models for Artificial Intelligence (AI) and Machine Learning (ML) within the College of Science
-
instructor. An ability to teach modules in research design, quantitative research methods, machine learning and quantitative text analysis at both undergraduate and postgraduate level is highly desirable
-
Professor / Full Professor of Advanced Manufacturing, School of Mechanical and Materials Engineering
/machining processes, artificial intelligence/machine learning/data science in the manufacturing environment. The successful candidate should be recognised internationally for their research and teaching
-
at University College Cork. The department manages one of the largest private networks in Ireland, 2 datacentres, over 7000 computer workstations, 300+ websites, research infrastructure and a customer base of
-
centres. Individuals for this role are expected to have proven experience applying artificial intelligence, machine learning, computational statistics, and statistics to specific problems, particularly in
-
broadly interpreted to include integration of Machine Learning, Implementation of Automation, Artificial Intelligence tools and AI-derived algorithms, Cheminformatics and utilisation of big data in research
-
data science in industrial research settings (>6 years) or academic centres. Individuals for this role are expected to have proven experience applying artificial intelligence, machine learning
-
, computer science, or a related field is required, together with relevant expertise in areas related to Artificial Intelligence, such as: Foundational Models, Algorithmic Research Machine/Deep Learning Computer
-
, Functional Genomics, Machine Learning or you can apply for the specific project titled “Machine learning applications in epigenomics.” The selected candidate will join a dynamic research group located