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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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to formalize a biological question into a computational model. Merits: Computational genomics, medical statistics, computational biology and/or imaging analysis. Experience with NGS (10x platform, Smart-Seq
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About Us The post will be based on the Guy’s Campus within the School of Basic and Medical Biosciences at St John’s Institute of Dermatology and include a secondment position at the Blizard
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Do you want to contribute to top quality medical research? The Department of Medicine, Solna, is one of the largest departments at Karolinska Institutet. The department consists of several units
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available at the Institute of Clinical Medicine at University of Oslo, as part of the research project BRAINGAP, which seeks to uncover the genetic architecture of brain imaging phenotypes. The research is
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on accelerating high-impact advances in human performance by leveraging the rapidly advancing fields of bioengineering, neuroscience, artificial intelligence, genetics, molecular biology, imaging, and regenerative
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as required. About you PhD in a relevant field advanced skills in imaging data analysis, statistical analysis tools, and research reporting. experience in research, data capture, analytical skills, and
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a unique integrative approach to investigate the molecular physiology of obesity and chronic stress-related disease which combines behavioral and genetic models, metabolic, neuroendocrine and imaging
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balance. Lead data analysis efforts, applying advanced signal processing and statistical techniques to extract meaningful insights from electrophysiological and imaging data. Collaborate with
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The post will be based on the Guy’s Campus within the School of Basic and Medical Biosciences at St John’s Institute of Dermatology and include a secondment position at the Blizard Institute, QMUL