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Field
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molecular biology and either prior experience in, or a strong desire to learn, basic bioinformatic analyses. Applicants must hold a PhD by the start date. To apply, please provide: a CV contact information
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work at the interface between computational spatial omics, single-cell mass spectrometry (MS)-based proteomics, multiplex imaging, and bioinformatics. We have recently co-developed Deep Visual Proteomics
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About the Role We are looking for a Postdoctoral Research Associate in Bioinformatics to join the Shcherbo Lab at the Blizard Institute, Queen Mary University of London. The successful candidate
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biology, animal models of human cancer, and bioinformatic analysis. Successful Postdoctoral Scholars independently drive and conduct their research, with guidance and input from the rest of the group, and
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international research initiatives. This position offers an exceptional opportunity to work at the intersection of genomics, bioinformatics, and translational science. Baylor College of Medicine typically follows
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line at the interface of nutrigenomics, clinical genomics, and toxicogenomics Design and apply bioinformatics workflows and predictive systems biology models Analyse multi-omics datasets from clinical
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to independently drive research projects, analyze and summarize results, publish in scientific journals, and contribute to the supervision of students. Your profile PhD degree in bioinformatics, machine learning
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to therapeutic discovery You bring PhD in computational biology, bioinformatics, computer science, or related field Strong coding skills (Python required; ML frameworks preferred) First-author publication(s
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analysis of multiple disease-specific datasets and contribute to the development of novel methodologies in this space. The ideal applicant will have a strong background in bioinformatics methods and a keen
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of an independent scientific career. Requirements PhD in Neuroscience, Bioinformatics, Computational Biology, or related field Proven track record in relevant techniques for the position applied Proficiency in