11 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" positions at QUEENS UNIVERSITY BELFAST
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Science, Computer Engineering, Electronic Engineering (or related disciplines). A strong record of research quality, commensurate with career stage in AI, including but not limited to: machine learning, deep learning
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the field of Psychiatry with sessional commitments. Information about the School can be found on our website. About the person: The essential educational requirements for the post are: Primary Medical Degree
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your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.
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you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website. This post is available for 3 years or to 1st March 2029, whichever is sooner. Fixed
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in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.
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project management, with a background in practice or teaching in several areas as detailed in the Candidate Information. The Lecturers will be expected to deliver and manage several programme modules and to
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construction and project management and will have a background in teaching as detailed in the Candidate Information. The successful applicant will be responsible for ensuring the GIFT CPM programme meets
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at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information. Fixed term contract posts
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reviewed journal. Ability to present scientific arguments and data in a clear, concise and confident manner in both written and oral formats. Conditions of the grant stipulate that the postholder will be
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PhD in helminth parasitology, with relevant research experience in this field. In addition: The successful candidate will have proven ability to manage projects, resources, collaborations, data, budgets