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contribute to developing new methods to advance project aims. Collect, analyse, visualise and interpret data through literature reviews, ethnographic fieldwork, network analysis and other research methods as
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of the AI tools for the analysis of other creative artistic realms would be welcome, but not obligatory. The appointed candidate is expected to collaborate across the MishMash network and participate in all
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to heat treatments would be of particular interest. Experience with bioprocesses Experience with relevant analytical methods. Experience with data analysis. Industrial experience or experience of conducting
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-edge functional genomics approaches routinely like ChIP-seq, CUT&RUN, PRO-seq, HiChIP, HiC, whole genome methylation analysis to advanced CRISPR-based approaches for genome editing, single-nuclei
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for AI and Creativity Postdoctoral research fellowship in AI for Music Analysis Apply for this job See advertisement About the position A Postdoctoral Research Fellowship (SKO 1352) is available
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strategies for safeguarding innovation, integrity, and cultural diversity against risks of exploitation and homogenization. The appointed candidate is expected to collaborate across the MishMash network and
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homogenization. The appointed candidate is expected to collaborate across the MishMash network and participate in all relevant MishMash activities. Research Proposal Applicants are required to upload a Research
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, and led by Professor Annette Alstadsæter. The core group is based at NMBU, and its international network includes the EU Tax Observatory, Centre for the Analysis of Taxation, Columbia University