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experience with building Docker containers. Experience with high-throughput sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C). Familiarity with epigenetics, gene regulation, or chromatin
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for model fine-tuning and alignment. Moreover, they will employ extensive experiments in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data
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the output of generative AI, and that this could lead to culturally specific narrative biases. Applicants are required to submit a detailed project proposal for a doctoral dissertation that aligns with
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experience with building Docker containers. Experience with high-throughput sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C). Familiarity with epigenetics, gene regulation, or chromatin
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: Should drilling fluid properties be monitored only sporadically at surface or continuously in real time? What are the trade-offs between low-quality hook-load and torque measurements versus multiple along
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multiple along-string measurements? How can distributed sensing and high-speed telemetry be leveraged to improve operational decisions? And what role do high-precision, memory-based measurements—only
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system that predicts suicide risk across multiple time horizons from patient clinical journals, supporting earlier and more personalized interventions. The project will build upon a unique dataset of more
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isolation, microscopy, proteomics, single cell RNA-sequencing, bioinformatics, and/or human stem cells will be viewed as an asset Willing to work with animal models Fluent oral and written communication
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://www.combine-marv.eu/ The main focus of the team at UiO is to use advanced proteomics techniques to characterise host cell signalling pathways activated by Marburg virus in multiple human cell types
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across multiple time horizons from patient clinical journals, supporting earlier and more personalized interventions. The project will build upon a unique dataset of more than 9,000 digitized patient