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coordination of clinical and translational research studies within the Upper GI programme at TSJCI. The role will include patient tracking, biospecimen management, clinical data integration, and research
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candidate will be to use a combination of CUDA, Python and C++ programming to develop CADD tools which will curate the human proteome, upgrade the group’s MoPBS software, develop new GPU enabled pharmacophore
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Communication skills, Machine learning, artificial intelligence, data science, Experience in geospatial science projects, Experience of Python 3.1x, Python machine learning libraries and Python geospatial
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such as R or Python Manage the full biomarker panning workflow, including strategic planning, operation oversight, biomolecular sample characterisation using UHPLC glycan analysis, mass spectrometry and
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appointed will have a proven GIS and remote sensing skillset and experience of working with Copernicus imagery appropriate to career stage. Candidates must demonstrate the capability for independent, problem
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, the Office of the Chief Government Information Officer and SOLAS. The person appointed will have a proven GIS and remote sensing skillset and experience of working with Copernicus imagery appropriate to career
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or similar technical discipline. Other qualifications in disciplines related to the PhD topic will also be considered. Knowledge & Experience Essential Good mastery of Python programming Strong
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other programming skills (such as Python) would be advantageous. Experience in making research funding applications (or the capability to do so in the future) to national or international grant agencies
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a growing team, supporting GI/GU Portfolio. ABOUT UCC CTG: The UCC CTG is an HRB funded collaborative team which aims to bring together a dedicated team of cancer specialists and research staff across
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in one or several of the following areas: CUDA programming, Python programming, artificial intelligence, CADD or small molecule drug discovery. - You have a strong interest in exploring novel