🎓 Bioinformatics PhDs

Explore the interface of computational and experimental genomics to unravel cancer mechanisms. Develop innovative software and analyze vast omics datasets. Join a lab committed to mentorship, cutting-edge research, and …

This research is critical for understanding complex genomic alterations in diseases such as cancer, enabling improved diagnostic and therap…

Explore the application of AI to model protease cleavage sites and peptide release during protein digestion. Develop data-driven kinetic models using advanced LC-MS experimental data to better understand and predict foo…

This research advances the understanding of protein digestion, critical to optimizing nutritional value and bioavailability of dietary prot…

Explore how AI and advanced imaging can unlock secrets of historical parchments' origins and preservation. Develop data-driven tools to identify parchment species and assess degradation without damaging valuable manuscr…

This research enables preservation of key historical documents by developing non-invasive, AI-driven tools to evaluate parchment origin, ag…

Explore blood-borne biomarkers for early lung cancer detection using matched proteomic, miRNA, and metabolomic data. Integrate multi-omics with novel network and survival models to uncover early disease signals.

This research has the potential to revolutionize lung cancer detection by identifying biomarkers detectable years before clinical diagnosis…

Develop and apply hierarchical Bayesian networks to assess and quantify errors in proteomic data analysis. Build scalable tools improving protein identification accuracy and fostering more reliable biological insights.

This research improves the accuracy and reliability of proteomics data, essential for biological and biomedical studies that rely on mass s…

Explore blood-cell biomarkers to predict severe dengue early using advanced multi-omics techniques and AI integration. Collaborate internationally and develop diagnostic tools to improve patient outcomes.

Early prediction of severe dengue through blood-cell biomarkers can transform clinical management by enabling timely therapeutic interventi…

Develop an advanced computational pipeline to screen natural antivirals against dengue virus. Combine molecular dynamics with QSAR modelling to identify top candidates for experimental validation, helping accelerate ant…

This research addresses the urgent need for effective dengue treatments by leveraging in-silico techniques to accelerate natural antiviral …

Competition funded PhD at Monash University Malaysia focused on airborne antimicrobial resistance gene surveillance using metagenomics, environmental data, and machine learning.

Three-year postdoctoral position at Leibniz-HKI in Jena, Germany, focusing on computational microbiome research and multi-omics integration to study gut bacteria’s systemic impact on human physiology.

Four-year PhD at Leibniz-HKI in Jena, Germany, investigating computational microbiome research and multi-omics integration to study gut bacteria’s systemic impact on human health.