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boundaries creates synergies that drive research forward and the high-tech methods enable research that would otherwise not be possible in Sweden. At SciLifeLab, we do not only apply the latest and most
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factor – DNA binding, detecting protein – protein interactions or enzyme optimization. Main responsibilities The candidate will use and develop methods within one, or preferably multiple, of the following
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chloroplasts. This project will develop and apply new synthetic biology methods with the aim to enhance the rate of carbon fixation and conversion in cyanobacteria. Such methods include, for example, CRISPR/Cas
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Spatial metaTranscriptomics methods and thus also handling of image data. The PhD student will interact with other team members to a large extent. For this purpose, we are looking for a PhD student with
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sequencing platforms (e.g. NextSeq 2000, NovaSeq X Plus). The role also includes continuous improvement and standardization of existing analysis methods (e.g. single-cell applications, basic histology and
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data as well as other modalities (i.e. microbiome) generated using the Spatial metaTranscriptomics (SmT) method. In addition, the PhD student will also apply Spatial Transcriptomics and single-cell
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haplogroups, principal component analysis, analysis, analysis of kinship, trait analysis and metagenomic analysis (incl. analysis of pathogenic microorganisms). The bioinformatician is involved in maintaining
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evolutionary analysis. A central component of the research will be to develop machine learning and deep learning methods trained on coding sequences and protein structure to extract patterns in data and to draw
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-based, Bayesian or matrix factorization methods for multi-omics integration. Ability to independently perform data analysis and scientific interpretation based on omics data at an internationally
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synthesize scientific literature Experience with HPC, and clinical/patient data Worked with machine-learning methods and omics data integration Knowledge of bioinformatics pipelines (e.g., Nextflow, Snakemake