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data analysis, programming, and biology. You will be part of a collaborative research team with deep experimental and analytical expertise, with access to advanced tumor models and state-of-the-art
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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
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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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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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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry – BMC A position as researcher in Synthesis and analysis of alicyclic carboxylic
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different conditions using existing software (written in Fortran). Analysis of data using quantitative genetics tools (e.g., calculation and comparison of genetic and phenotypic covariance matrices
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the education will be evaluated by the postgraduate studies board of the department. Qualifications Aptitude for critical and creative thinking is expected, as is a solid education in a subject such as biophysics
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components in time and space, from single molecules to native tissue environments. The project The industrial PhD student will develop AI and machine learning models to predict drug metabolism, a critical area
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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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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