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the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300
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Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications
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public health would be highly desirable. Knowledge and skills in mathematics, biostatistics, advanced statistical techniques in clinical research, database management, and machine learning/artificial
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statistical techniques in clinical research, database management, and machine learning/artificial intelligence (AI) would be an advantage. The appointee will work with the Principal Investigator on various
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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R. They should
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images