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to develop novel immune therapeutic strategies for hard-to-treat triple negative breast cancers (TNBC). Based in the Cancer Bioinformatics Group (Professor Anita Grigoriadis), the postholder will contribute
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(or equivalent) in biology, bioinformatics, genetics, molecular ecology, or a related field. Solid knowledge and practical experience in molecular ecology, population genetics, and statistical and bioinformatic
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the Faculty of Life Sciences & Medicine Hub for Applied Bioinformatics. This post is jointly funded by the Borne Foundation (50%) and King’s Health Partner’s Centre for Translational Medicine (CTM) (50
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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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The Lead-Bioinformatics Research Scientist takes a lead role in data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel
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, plants to vertebrates. The programme employs diverse research approaches ranging from ecology, molecular biology, evolutionary biology to genomics and bioinformatics. The research produces and utilises
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responsibilities include bioinformatics analyses with a strong focus on single-cell RNA sequencing and next-generation single-cell barcode lineage tracing, as well as the interpretation of complex biological
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: Engineering / Biomedical Appl Deadline: (posted 2025/08/26, listed until 2026/02/26) Position Description: Apply Position Description We are seeking a highly motivated and analytically skilled Research
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with other LIB researchers of both localities. We expect the candidate to hold a PhD in Evolutionary Biology, Molecular Biology, Bioinformatics, or a closely related field with strong emphasis
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breast cancers (TNBC). Based in the Cancer Bioinformatics Group (Professor Anita Grigoriadis), the postholder will contribute to the development of scalable analytical tools and apply these to rich