78 transcriptomics PhD positions

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  • Heidelberg University | Heidelberg, Baden W rttemberg | Germany | 2 months ago

    ) Contract:TV-L Your Tasks To determine cell-type specific alterations in the transcriptome induced by interferon signaling To investigate the effect of loss-of-function of regulatory factors in controlling

  • University of Antwerp | Belgium | 29 days ago

    policies . You act with attention to quality, integrity, creativity and cooperation. You are fluent in English, both written and oral. Experience with transcriptome and hormone analysis is an asset. You will

  • SciLifeLab | Sweden | about 2 months ago

    (e.g., Snakemake, Nextflow) and reproducible data processing pipelines. Knowledge of transcriptomics and alternative splicing analysis, including isoform-level quantification tools. Programming skills in

  • Umeå University | Sweden | 2 months ago

    familiarity with downstream transcriptomic methods (e.g. RNA sequencing, RT-qPCR). Experience with live-cell fluorescence imaging, including confocal microscopy and the use of genetically encoded biosensors

  • KNAW | Netherlands | 15 days ago

    , United States Tina Drinčić Rijskuniverseit Groningen; Universitair Medisch Centrum Groningen The transcriptomic signature of insomnia in major depressive disorder Cousins Center for Psychoneuroimmunology, Semel

  • Duke University | Durham, North Carolina | United States | about 2 months ago

    heterogeneity in malignant brain tumors. The primary responsibilities for this position will be focused on analysis of single-cell transcriptomic and epigenomic datasets with the goal of identifying cell types

  • Harvard University | Cambridge, Massachusetts | United States | about 2 months ago

    cell transcriptomics, validating using antibody staining Sets up shakers in incubators, monitor differentiation, and set up a pipeline Collaborates with other lab members on experimental design, setting

  • Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 2 months ago

    ? How can we manage, analyse and integrate complex, large-scale genomic, epigenomic, transcriptomic, translatomic, proteomic and metabolomic datasets to answer biological questions and generate new

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