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, Italy and the UK. We will use artificial intelligence, bioinformatics, next generation sequencing and microbiology. The successful candidate will work closely with an interdisciplinary team of academics
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on large-scale consortium datasets and the EHR-linked Vanderbilt Biobank (BioVU). He/she will work in a team environment. He/she will apply existing genetics, statistics, and bioinformatics tools. A primary
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infrastructure evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatic and analytic
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studies, data science, bioinformatics, artificial intelligence, and clinical and translational research. Candidates will be responsible for performing reading, thoughtful analysis and synthesis
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of the responsibilities outlined below Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor to test the project hypotheses and complete project aims Develop research
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of the University of Cincinnati. Required Education MD, PhD, or MD/PhD in neuroscience or a related field (Bioinformatics, genetics, etc.) Additional Qualifications Considered Experience with rodent models and
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, Microbiology, or Bioengineering, and related field. Extensive experience in microbiome research, including DNA sequencing, metagenomics, and bioinformatics. Proficiency in designing microencapsulation and
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research institutes and centers including Regenstrief Institute, Center for Computational Biology and Bioinformatics, Indiana Clinical and Translational Science Institute (CTSI), Indiana University Simon
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Criteria. For a confidential discussion regarding this role, please contact Ghazanfar Khan, Senior Lecturer, Biotechnology and Bioinformatics via g.khan@deakin.edu.au For a copy of the position description
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metabolism. Key Responsibilities Lead metagenomic, proteomics, and metabolomic profiling of clinical and experimental samples to identify dysbiosis signatures. Apply bioinformatics tools for microbiome data