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Technology (Maria Taljegård). Main responsibilities Plan and perform research under the guidance of supervisors Apply and develop energy- and environmental systems assessment methods and tools Collect and
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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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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven
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experience in tissue sampling and laboratory methods such as immunohistochemistry, genotyping, and ELISA. Have expertise in, and experience with configuring, programming and supporting Med Associates
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on some part of this arena, using research approaches that could include for example textual/discourse analysis, interviews, participant observation and co-creative methods. The exact design of the project
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of Computing Science has been growing rapidly in recent years where focus on an inclusive and bottom-up driven environment are key elements in our sustainable growth. The 60 doctoral students within
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-cell imaging and analysis will be used to investigate cell and cluster morphology. The scientific interests and background of the PhD student will be a major factor in the design of the project. A person
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in quantitative research methods. Excellent written and oral communication skills in English. Ability to work both independently and collaboratively in interdisciplinary teams. Meriting: Experience
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development of phylogenetic methods. The EvonetsLab is supported by a Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven
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) programme and research school Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures