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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines
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Institute for Regenerative Medicine Postdoc in Bioinformatics or Bioinformatician 50-100% Our lab at the University of Zurich studies the regulation of gene expression in stem cells and cancer. We
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Biology, or related field. (Required) Master's Degree Bioinformatics, Computational Biology, Oral Biology, Molecular/Cell Biology, or related field. (Preferred) PhD Bioinformatics, Computational Biology
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. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/293272/phd-research-fellow-in-palaeoecology-and-sedimentary-ancient-dna Where to apply Website https://www.jobbnorge.no
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University of California, San Francisco | San Francisco, California | United States | about 12 hours ago
implement bioinformatics and statistical analyses of next-generation sequencing data representing microbiome and host transcriptome -Analyze features of the antimicrobial resistome and virulome -Carry out
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will be paid monthly by bank transfer. Eligibility criteria Candidates must: 1) be enrolled in a PhD program in Biology, Genetics, Evolution, or related fields; 2) have experience in: bioinformatics
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limited to one year with the possibility of extension. The research assistant position may potentially lead to the opportunity to begin a PhD position based on the candidate’s career stage and wishes. We
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/bioinformatician with a PhD degree in a relevant research field. Experimental biologists with significant bioinformatic experience wishing to transition to a more computational project are encouraged to apply. Your
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multiple countries. Your profile: PhD in Bioinformatics, Computational Biology, Statistics, Computer Science, or related field Experience with high-throughput genomic data analysis Experience in machine
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regulatory networks in pathogenic yeasts, with impact on their pathogenesis, in order to strengthen knowledge regarding less well-studied yeast species. From the bioinformatics standpoint, the work will focus