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learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include: Development of ML/DL methods for multi-omics data analysis. Design and implementation
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of human proteins in cell lines using immunofluorescence (ICC-IF) and confocal microscopy. The research group is also applying the latest methods for highly multiplexed immunostaining of cells and tissues
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The incumbent
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/andras-gorzsas/ ). Project description The research project concerns method development linked to a cutting-edge OPTIR-Raman instrument and its application in life sciences. This technique is very recently
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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
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of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various
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experimentally challenging and we are using specially-developed methods for library prep for high-throughput sequencing to achieve this. The research involves next-generation sequence library preparation in
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for carrying out research in the Chinmay Dwibedi lab (www.dwibedilab.org ) in close collaboration with local and international experts. Specifically, you will employ Bioinformatic and statistical methods
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and in cell culture. Practical experience in programming with R. Practical experience in analytical methods including multiplex flow cytometry, as well as associated data analysis. Practical experience