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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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and differentiate multiple SCLC markers simultaneously at ultra-low concentrations which might allow a more robust and personalized diagnostic profile in the future. Jarli & Jordan/ UiO via Unsplash
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women/men to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply. The University of Bergen applies the principle