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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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exposures and breast cancer risk. The focus of the project is on analyses of high dimensional and longitudinal data. The position is for three years, starting summer/fall of 2026 or upon agreement
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values as a university and public authority. Learn more about our benefits and what it’s like to work and grow at KTH. Trade union representatives Contact information to trade union representatives
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-modal prediction models for breast cancer, using both medical images (X-ray, pathology) and clinical and tumor genomic data. The project AID4BC (AI-based Precision Diagnostics and Decision Support for
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brain imaging methods as a window into human brain plasticity. Projects will combine new data acquisition with analysis of existing datasets, and may leverage: MRI (structural, diffusion, and functional
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this, we will apply novel tools based on semi-permeable capsules, including various analytical and biochemical methods, molecular barcoding, sequencing, and high dimensional data analytics. The project will
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mechanisms by which TEs regulate gene expression in the human brain, including through interaction with their epigenetic repressors such as DNA methylation. Importantly, our preliminary data revealed
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combine experimental studies with the analysis of in vivo blood and muscle data. Since the project is translational, you will collaborate with both clinical and preclinical researchers as
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of publications, a general description of past research and future research interests (no more than three pages), contact information of at least two references, copy of the doctoral degree certificate
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often emphasizes the importance of asset diversification, there has recently been growing empirical support in research for the view that temporal information, in combination with diversification, plays a