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that these analyses will result in standalone journal papers, some of which you will take the lead in writing. There may also be opportunities to be involved in related mathematical modelling projects, as well as data
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. The role holder will prepare and conduct empirical (mixed-method) research. This will entail all steps from developing the conceptual frameworks and instruments to data collection and analysis. You will
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pro-rata for different periods. Application Papers You will find all application forms and further information on the application procedure here . Application Deadline Applicable deadlines will be
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, numerical modelling, data analysis, and interpretation of results. Alongside this, around 30% of the role will involve contributing to publications and actively supporting the development of future research
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NTU’s College of Humanities, Arts and Social Sciences (CoHASS) includes four schools: Humanities; Social Sciences; Art, Design and Media; and the Wee Kim Wee School of Communication and Information
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for Biomedical Imaging (Harvard/MIT/Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest. The appointment is for one year with a
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development, and the design of data-informed learning environments that promote inclusion, equity, and the ability to act critically and responsibly in the face of AI technologies. The position has a particular
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or more. Selection Applications are reviewed and selected by a DAAD selection committee. The approval of the K.C. Wong Education Foundation is then required. Further information The DAAD will not consider
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contact information for at least two referees who can supply letters of recommendation upon request. Inquiries and additional materials can be sent to lzahodne@umich.edu. Job Summary The Department
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. Qualifications Preferred Skills Analysis of shotgun metagenomics sequencing and metabolomics data Integration of single-cell RNA-seq with proteomic and metabolomic datasets Application of machine learning and AI