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of geographic information systems, epidemiology, machine learning and public health information systems. The project aligns with recent developments at the HISP Centre at UiO, which is expanding its long-standing
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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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language model training and the applications of these models in selected domains. In particular, you will be exploring how LLMs can be efficiently pre-trained, fine-tuned and aligned to applications in
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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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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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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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on the list of applicants. The applicant must be notified if the request to be omitted is not met. We encourage men to apply. If multiple applicants have approximately equivalent qualifications, the rules
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on the list of applicants. The applicant must be notified if the request to be omitted is not met. We encourage men to apply. If multiple applicants have approximately equivalent qualifications, the rules
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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