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Professor Maja Jagodic at the Department of Clinical Neuroscience (CNS) and is part of the Karolinska Neuroimmunology and Multiple Sclerosis (KNIMS) network, which brings together approximately 100
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, represented as a set of raw sequences, graphs, or sequence alignments. In this project, we will conduct a comparative study of noncoding genomic regions. You should have expertise in algorithm design and high
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, represented as a set of raw sequences, graphs, or sequence alignments. In this project, we will conduct a comparative study of noncoding genomic regions. You should have expertise in algorithm design and high
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, DNA and RNA sequencing, and in vivo models. You must also enjoy scientific discussion, teamwork and active contribution to the projects by others in the lab. Your profile To be eligible for employment
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-models, thereby avoiding double counting of effects, • developing and evaluating temporal machine-learning models for sequence-to-sequence prediction of fuel behaviour, • extending surrogate models
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About the position The exact tasks will depend on the skillset of the researcher and desired employment duration, but will include anaerobic cultivation of bacteria, single cell RNA sequencing, and
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circulating tumor DNA, with comprehensive tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data
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threatened by ash dieback. The successful candidate will contribute to developing the first Swedish-focused European ash pangenome, integrating long-read genome assemblies with population-scale sequencing
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duration, but will include anaerobic cultivation of bacteria, single cell RNA sequencing, and communication with collaborators. Your profile The applicant must have expertise in molecular methods and be able
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tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data are analyzed using advanced bioinformatic