1,873 linked-data-"https:"-"https:"-"https:"-"Technical-University-Of-Denmark" Fellowship positions
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large-scale health data”. Qualifications For the Research Fellow post, applicants should have a doctoral degree with at least three years of postdoctoral research experience or equivalent qualifications
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: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO
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meaningful global impact. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . For further information, please click here to view
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use the algorithms in practice, when little to no assumptions can be made on the data. Required Qualifications PhD in computer science, mathematics, statistics, or related fields (by the start date
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publication record in reputable journals (published more than 3 journal papers) Good English writing and communication skills - essential for data analysis and communication with stakeholders Demonstrated
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application consists of: An application Transcripts – Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant experiences
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. Zou Xiang at telephone number 3400 8574 or via email at xiang.y.zou@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing
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at telephone number 2766 6608 or via email at mfcytang@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is
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information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant experiences, and publication list One educational or professional recommendation All
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, Plant Science, Environmental Science, or a related field. Expertise in microbiome data analysis, metagenomics, or metaproteomics. Proficiency in bioinformatics tools for multi-omics data processing Strong