195 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" positions at University College Cork
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Heritage Post Duration: 18 Months, Part -Time Post (0.8FTE) Salary: €33,791 - €43,872 p.a. pro rate (0.8FTE) (IUA Salary Scale) For an information package including further details of the post see https
-
Expression Through Co Design Where to apply Website http://www.ucc.ie/en/ Requirements Research FieldPsychological sciences » PsychologyEducation LevelPhD or equivalent Skills/Qualifications The primary focus
-
Scale) For an information package including further details of the post see https://ore.ucc.ie/ Informal enquiries can be made in confidence to Prof John F. Cryan, Professor, Dept Anatomy & Neuroscience
-
, Part-time (0.5FTE) Salary: €46,905, per annum, Personal Rate, pro rata (0.5FTE) For an information package including further details of the post see https://ore.ucc.ie/ . Informal enquiries can be made
-
and/or an international police clearance check may form part of the selection process. For an information package including full details of the post, selection criteria and application process see https
-
of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its discretion, may undertake to make an additional appointment(s) from this competition following
-
of Microbiology and APC Microbiome Ireland in University College Cork. More information on our research can be found on our lab webpage https://www.browne-lab.org/. Please contact Dr. Hilary Browne hilary.browne
-
across a wide range of research projects. This role requires excellent communication and interpersonal skills, computer literacy, and data management. He/she is a key member of the project team and should
-
of Pharmacy, UCC, led by the Professor of Pharmaceutics, Brendan Griffin is aiming to develop Artificial Intelligence (AI) and machine learning tools that can accelerate the creation of medicines for conditions
-
) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI