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Field
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bioinformatics tools for integration of multi-omics and gene regulatory networks. The long-term research goal is to answer the key scientific question “How non-coding genetic variant act through context specific
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such artificial empathy, and how this relates to AI sycophancy and mental health. For more information about the research conducted in the lab, please visit the lab website at https://cascoglab.psy.utexas.edu
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. Responsibilities include but are not limited to the following areas: Conduct cutting-edge research to elucidate cellular and molecular mechanisms underlying stem cell regulation in the context of regeneration, aging
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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into the AI-based predictor to tune its behaviour in real-time for a highly personalized and context-dependent experience. This research will be conducted in collaboration with partners of the MishMash center
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and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd
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for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows
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for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows