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of microbiome and clinical data; experimental studies of microbial adhesion and biofilm formation; analysis of carbohydrates and proteins involved in host–microbe interactions; and protein profiling
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of the Higher Education Ordinance (1993:100). More information is available on the university's website Other information Interviews will be conducted online shortly after the application deadline. How to apply
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and vegetation development. This PhD project is part of a larger interdisciplinary research initiative aiming to enable a transition towards more data-driven and environmentally responsible maintenance
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have experience of qualitative research involving your own data collection, for example interview-based case studies. You have excellent oral and written proficiency in English. Swedish is not a
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, processing and statistical analysis of experimental data, and publishing and presenting research results in scientific journals and at conferences. The successful candidate will also participate in doctoral
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of marine ecosystem monitoring across spatial and temporal scales. The project will include work with remote sensing, autonomous sensors, environmental monitoring technologies, data integration, and system
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analysis of complex datasets using specialized peptidomics tools. Experience in MS data analysis using software such as FragPipe and DIA-NN, as well as basic programming skills in Python. Practical
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DDLS industrial PhD position We are announcing a position for a Data-Driven Life Science (DDLS) PhD student in data-driven precision medicine and diagnostics. To be a doctoral student means to
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architecture and viral factories within infected cells. The project will combine virology and structural biology approaches and involves training in cellular cryogenic electron tomography (cryo-ET) data
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, DNA–protein conjugation, cell culture, high-throughput sequencing and bioinformatics. During the doctoral education the student will design and run experiments, analyse and interpret data. We value