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transcriptomics, bioinformatics, zebrafish genetics and live imaging. The postdoctoral researcher will: • characterise the molecular profiles of remodelled skin cells and compare them with neighbouring skin cells
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students Representing the lab at scientific conferences and supporting follow-up grant applications Essential: PhD in computational biology, bioinformatics, epidemiology, or a related quantitative field
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degraded biological material. Our research combines molecular biology, genomics, proteomics and bioinformatics to investigate biological information preserved in challenging and highly degraded samples. We
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support from a faculty lead and will hold office hours as appropriate. Qualifications PhD in bioinformatics, biology, or a closely related field. Experience with the application of computational methods
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biostatistics or computational biology or similar ((PhD preferred). Experience in analyzing and integrating multi-dimensional omics data. MS from an accredited program in bioinformatics, biostatistics, or another
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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of a project within the laboratory’s broader research programme (https://csi.nus.edu.sg/researcher/peteryeow/) . The specific direction of the project will be shaped by their expertise and strengths
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 12 hours ago
Bioanalytics for the Multidimensional OMICS Data Analysis research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36