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experience in data management, health data science, medical statistics, epidemiology, or a related discipline. We would welcome applications from people with advanced data science, epidemiological
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portfolio within a range of projects within CONNECT. The researcher will also be part of the School of Computer Science and Statistics in TCD. The position will be under the direction of Prof. Marco Ruffini
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language processing (NLP) skills; - Solid data science foundations; - Ability to use statistical software applications (R and Python are mandatory) to develop analytical tools and predictive models; - System
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experience in MRI, PET or related imaging. Excellent problem-solving skills and the ability to work independently and collaboratively. Proficient in data analysis, statistical methods, and programming
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proficiency in relevant software tools for environmental assessment and statistical analysis Excellent written and verbal communication skills in English Ability to work effectively in a collaborative team
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in MatLab, R, Python, or other programming languages for data analysis and/or model implementation, are required. For area 1 and 2, documented expertise in statistical analyses is required; experience
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implementation, are required. For area 1 and 2, documented expertise in statistical analyses is required; experience in collating and analyzing large datasets is meriting. For area 2, experience in analyzing
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the departments of Computer Science, Mathematics, Physics, Statistics, and Systems Engineering and collaborate with faculty in these and other departments across CSU. More information on the department can be found