Sort by
Refine Your Search
-
machine learning will complement experiments to accelerate material optimisation, with applications in hydrogen fuel cells and sustainable energy systems Where to apply Website https://tus.ie/rdi/research
-
emphasis on machine learning applications in asset pricing and corporate finance, alongside traditional econometric and factor modelling techniques. The successful candidate will play a pivotal role in
-
leadership on the use of generative AI for developing the machine learning model, system integration and deployment, analysis and optimisation, working closely with the Principal Investigator and managing
-
communication and interpersonal skills, computer literacy, organization and an awareness of time management. EXPERIENCE REQUIRED: • Qualified Nurse (Mandatory RGN, BSc,). • Oncology background
-
computer workstations, 300+ websites, research infrastructure and a customer base of more than 30,000 users. In addition, it provides and supports the University’s business systems and Teaching and Learning
-
team that prioritises people, wellbeing, equality, diversity and inclusion (EDI), and you will gain exposure to a wide range of HR practices while learning from experienced professionals. About the role
-
, machine learning and quantitative text analysis at both undergraduate and postgraduate level is highly desirable. The Department is seeking to appoint an individual with vision and enthusiasm and a genuine
-
, computer literacy, organization and an awareness of time management. EXPERIENCE REQUIRED: Qualified Nurse (Mandatory). (Registered General Nurse with Nursing Midwifery Board Ireland). Cancer care background
-
, computer literacy, organization and an awareness of time management. EXPERIENCE REQUIRED: Qualified Nurse (Mandatory RGN, BSc,). Oncology background or related experience would be a strong advantage. Strong
-
of project technical lead. The appointee will be expected to provide leadership on the use of generative AI for developing the machine learning model, system integration and deployment, analysis and