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. Investigating epigenetic regulation (DNA methylation, histone modifications) in stem cell fate decisions, reprogramming, and disease modeling using AI predictive tools. Combining computational virtual cell
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proficient in epigenome-related techniques (DNA methylation and/or histone modifications) and their analysis. Alternatively, the candidate comes with an expertise in CRISPR-based epigenetic editing
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, epigenomics, and proteomics) to simulate virtual neural stem cells or organoids. Investigating epigenetic regulation (DNA methylation, histone modifications) in stem cell fate decisions, reprogramming, and
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, optimizing, and validating procedures for RNA expression analyses; Introducing methods from the field of epigenetics (e.g., DNA methylation); Participating in research investigating: exposure levels
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the role of the Ku70 C-terminal domain and its methylation in DNA damage response, along with the regulatory functions of lysine methyltransferase SETD4. Additionally, the lab aims to uncover new mechanisms
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interest) in nanopore based DNA methylation analysis and previous bioinformatics training. Requirements: PhD in a STEM subject. Candidates with degrees in neuroscience, data science, bioinformatics, and
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holder will be responsible for the day-to-day running of this programme of work as part of Dr Chiari’s research team within the Cells, Organisms and Molecular Genetics (COMGen) group (https
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techniques: handling biological samples, extracting nucleic acids from blood and tumors, PCR, Sanger sequencing, mass sequencing (NGS panels), DNA methylation analysis (EPIC array), and results analysis (0
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involve conducting bioinformatic analyses of existing RNA-sequencing and whole-genome DNA methylation datasets from wild and hatchery fish populations. Depending on securing additional funding, there may
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heterogeneous multi-omics datasets. Integrative Data Analysis: Perform and lead analysis of large-scale multi-omics datasets, including RNA/DNA sequencing, methylation, and metabolomics. Method Development