Sort by
Refine Your Search
-
in a world-class research institute on applying state-of-the-art machine learning methods to an industrial problem. Ideally the candidate should have a background in reinforcement learning, especially
-
must have concluded a PhD in Computer Science, Data Science, Artificial Intelligence, Computer Engineering or related area (essential). • The candidate should have a background Data Science/Machine
-
Intelligence, Computer Engineering or related area (essential). · The candidate should have a background Data Science/Machine learning with experience in Large Language models and/or conversational AI
-
semimetals, magnetic monopole fluids, quantum spin liquids and exciton fluids. • Data Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and
-
machine learning and modelling of complex datasets requiring integration. S/he will curate, clean and analyse all data, developing appropriate algorithms and pipelines. UCC is an accredited research
-
(essential). Advanced experience in GIS (essential). Appropriate experience (essential) in either (1) machine learning (fully-convolutional neural networks) applied to remotely sensed data, either/or (2
-
mass cytometry. A bioinformatician, conversant with different machine learning and modelling of complex datasets requiring integration. S/he will curate, clean and analyse all data, developing
-
of the shallow regions, but in the absence of ground-truthing, must rely on computer algorithms to facilitate the task. Machine Learning and geomorphometry analysis can enable the categorisation of rock
-
described as Wireless Sensor Networks (WSN), Cyber Physical Systems (CPS), or the Internet of Things (IoT). Most computer systems surrounding us in our daily life are no longer the traditional personal
-
research project will employ sensing technologies, largescale Information Communications Technologies (ICT) datasets, artificial intelligence, machine learning and statistical methods to quantify urban