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incorporate it into mathematical models of trait evolution across phylogenies. The work combines dimensionality reduction and geometric data analysis with the development of statistically rigorous comparative
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equivalent, in bioinformatics, data science, computer science, computational biology, statistics, public health, biomedical engineering, applied mathematics, physics, or another quantitative field of relevance
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variability. The work may include inverse problems, regularization strategies, statistical modeling, representation learning, and geometric or variational approaches to volumetric data. There is substantial
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. The Assistant Professor is expected to contribute to teaching and program and course development in bioinformatics, data visualization, machine learning, biological statistics, and statistical and
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, Shiny, Plotly). Applications: Experience with biomarkers and epidemiological studies: survival analysis, longitudinal modeling, multivariate analysis, and Bayesian statistics. Experience with statistical
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to the development of novel tools for cancer risk assessment with real potential impact on healthcare. Qualifications Requirements A doctoral degree or an equivalent foreign degree in computer science, statistics
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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well as collaborate with members of the team on research projects that fit their qualifications and interests. Primarly, the selected candidate will design and implement novel ML/statistical approaches dedicated
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to different biological materials and research questions. The bioinformatic/statistic component of the proteomic pipeline is an important part of the work, to be able to assist the users in interpretation and
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at Sahlgrenska Academy of relevance include genomics, metagenomics, culturomics, proteomics, transcriptomics, software development, machine learning, and other statistical analyses of large-scale health data