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the PhD student with access to secure data storage, analytical tools, and expertise for handling and analyzing sensitive research material. Doctoral degree program: Work-integrated Learning Research center
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engineering programs and master's programs. More information is available on our website . This PhD project focuses on the development of plasmon-driven photoelectrocatalytic platforms for proton-coupled
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in flow cytometry, adipocyte or immune cell cultures, molecular biology techniques or analysis of large data will be considered a merit, but are not obligatory. We place great emphasis on personal
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to handle the massive amounts of data generated by novel high-throughput scMetaG methods. Here, the PhD student will develop novel bioinformatic methods and tools, which can be used to analyze massive amounts
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opportunities for all. Contact For more information, please contact either Professor Afzal Siddiqui, asiddiq@dsv.su.se , or Director of PhD studies, Åsa Smedberg, studierektorF@dsv.su.se . Application Apply
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, existing bioinformatic tools are not equipped to handle the massive amounts of data generated by novel high-throughput scMetaG methods. Here, the PhD student will develop novel bioinformatic methods and
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dimensionality reduction methods), systems biology analysis (including machine learning and other AI techniques), statistical tools focusing on analysis of complex longitudinal data, and how different types
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attention to detail, as well as the ability to manage experimental work and data analysis simultaneously. Since the project involves international collaboration and fieldwork, good communication skills and an
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Description of the workplace The PhD project will be conducted within the field of Experimental Medical Diagnostics at the Division of Ophthalmology, Department of Clinical Sciences, Lund
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experience in large-scale quantitative and functional proteomics Experience in sample preparation of cells for quantitative proteomics Strong skills in quantitative proteomics data analysis using R, as