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, behavioral, clinical, genetic, and proteomic data. Prepares documentation of existing and newly developed brain image analysis pipelines, algorithms, and quantitative methods. Assists the team leader in
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, such as whole genome sequencing, single-cell sequencing and cell barcoding, using established workflows, new methods and your own algorithms. Through this, you will identify the genetic and phenotypic
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, such as whole genome sequencing, single-cell sequencing and cell barcoding, using established workflows, new methods and your own algorithms. Through this, you will identify the genetic and phenotypic
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genetics and genomics, with expanded interests in computational biology, functional genomics, and neuroscience. Example projects within the university and with external partners: • Noncoding Variation in
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of murine models of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Key Responsibilities: Develop and implement advanced algorithms
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Position Details Position Information Recruitment/Posting Title Open rank tenure track faculty position in the Department of Library and Information Science, in Information Policy Department SC&I
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Position Details Position Information Recruitment/Posting Title Open rank tenure track faculty position in the Department of Library and Information Science, in Information Policy Department SC&I
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Scheduled Hours 40 Position Summary Collect neuroimaging data and perform innovative analyses on these and related data. Develop and implement computer algorithms for analyzing the data. Assume
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Applied Machine Learning: Knowledge of integrating machine learning models and algorithms into applications. • A knowledge of applied computer science and AI in software/app development and rapid prototype
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department