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at the Department of Public Health, you will be part of an internationally recognised department, where we work together to promote public health through research into areas that can prevent, treat and alleviate
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omics datasets, including genomics, transcriptomics, proteomics, and metabolomics. Process and visualize high-throughput data, including NGS outputs. Contribute to developing computational tools, methods
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treatment, with extensive knowledge of experimental methods in both microbiology (e.g., bioinformatics) and wastewater biotechnology. Are skilled in the development and optimization of biological processes in
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering
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to plan and carry out complicated tasks and to pursue parallel paths able to accommodate strict time boundaries imposed by the overall project goals excellent at communicating and reporting your work in
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/or bioinformatics applied to biodiversity monitoring and conservation biology. Are you interested in contributing to, and shaping, our initiative on developing the use of quantitative genetics and
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analyses. • Analyze and process microscopy data using specialized software • Train researchers and students in these techniques and advanced microscopy • Collaborate with team members on imaging needs
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plants such as cassava, barley, maize and wheat. The research seeks to elucidate and understand the mechanisms behind genetic control of signal transduction, cell differentiation, developmental processes
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, facilitating strategic partnerships, and delivering technical assistance to strengthen genomic surveillance and bioinformatics capacity across LMICs. This role involves high-level stakeholder engagement, donor
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering