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learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in
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120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. The department also participates in the Wallenberg AI, Autonomous
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identity and extracellular signaling, but how cell types, signaling mechanisms, and transcription factors jointly determine tissue structure is incompletely understood. The Koplev lab is recruiting
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by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point
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collaboration with experimental LNP PhD / PostDoc projects in the Barriga Lab and with M. Carroni at the Cryo EM facility SciLifeLab. Other responsibilities may include teaching, supervision and contributions
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on studying genetic variation and determining how different variants co-occur on the same paternal or maternal haplotype, a process known as haplotype phasing. We have previously developed methods for haplotype
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to enable scalability. The work will draw on concepts from dynamical systems, stochastic processes, and stochastic differential equations (SDEs), including nonequilibrium systems, to model cellular behavior
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for single-nucleus RNA sequencing and chromatin accessibility assays Systematically evaluate and improve data quality, signal-to-noise ratios and reproducibility in experimental workflows Identify critical
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processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585
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or automated data processing workflows Experience building APIs or data services for large scientific datasets Familiarity with the Model Context Protocol or similar systems for exposing data to AI tools and