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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
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position is available for a motivated student with experience in biostatistics, molecular epidemiology, biomedicine and large-scale computational analysis. The position is based in the research group led by
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have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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genomic studies and the analysis of archaic ancestry in present-day and prehistoric humans across the globe. The duties will involve large-scale analyses of genomic datasets, from present-day and
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) biological knowledge about GRNs from bioinformatics and system biology, (b) graph theory and topological data analysis for network modeling from mathematics, and (c) robust machine learning (ML) and GenAI from
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transform our understanding of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis
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for a PhD student in analytical chemistry to develop analytical methods for single cell analysis using direct infusion mass spectrometry. The PhD candidate will work with and develop custom made
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will be entirely computational, focusing on the large-scale bioinformatic analysis of proteome data from a wide range of existing species. The research will focus on understanding mutational robustness
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Chemistry for the global and targeted metabolomics analysis of neurological and cancer diseases is available in the laboratory of Professor Daniel Globisch. The Globisch laboratory is an international and