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Field
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using publicly available and internally generated datasets. Research & Scientific Discovery Investigate mechanisms underlying DNA damage, DNA repair deficiencies and cancer evolution through computational
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. Eisbach's research encompasses nucleosome remodeling enzymes, DNA-dependent nuclear helicases as well as nuclear PARP family enzymes, all of which are critical for efficient DNA repair and chromatin
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application of foundation models for fungal DNA and protein sequences. With ARS and external AI knowledge-holders, you will adapt long-context DNA language models to fungal genomes. These DNA-language models
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-cancer-associated DNA targets. The programme brings together expertise in nucleic-acid chemistry, molecular diagnostics, photonic sensing, engineering and bladder-cancer research. The research fellow will
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may contribute to projects involving: multi-omics analyses (single-cell, cell-free RNA/DNA, methylation, proteomics); biomarker discovery for pregnancy complications and neonatal outcomes; computational
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biology, DNA damage responses and sensitivity or resistance to radiotherapy. Radiotherapy remains a cornerstone of treatment for many cancers, including aggressive brain tumours. However, the molecular
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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 2 months ago
resistance. Our research integrates cancer biology, metabolism, DNA damage response, immunology, and functional genomics to identify new therapeutic vulnerabilities that can improve the effectiveness
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. The project will combine an existing dataset of approximately 200 contemporary genomes with a new time series of ancient killer whale genomes generated within the project. The tasks will include ancient DNA
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recognition, but we are also open to your innovative ideas. Your contribution will break new ground, moving beyond current plant DNA barcoding methods to explore these genome-wide and AI approaches in a high
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cancer relapse and targeted therapy response. Responsibilities* Process and preprocess raw data across genomics, proteomics, and epigenomics platforms, including DNA-seq, RNA-seq, ChIP-seq, ATAC-seq, and