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& Hematopoietic Cell Transplantation. Dr. Diamond’s research team is seeking a highly motivated candidate with skills and understanding in antigen presentation utilizing bioinformatics tools to be applied
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terms of stem and progenitor cell and lineage reprogramming. Studies are at the cellular and molecular level using novel molecular and imaging methodologies to understand processes and cell interactions
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foundation in fundamental biofilm research, microbial community assembly and manipulation, and biofilm reactor operation is essential. Experience in metabolic engineering is desirable. The successful candidate
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. Experience with cancer organoid models and/or bioinformatics is an advantage. We offer broad training possibilities in the required experimental methods within a stimulating academic environment in Centre
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spectrometry-based metabolomics and/or stable isotope tracing Familiarity or interest in cardiovascular biology, mitochondrial metabolism, systems biology, or bioinformatics/data analysis Enthusiasm
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implement bioinformatics tools and workflows to process and analyze multi-omics datasets, enabling insights into complex genomic changes. They will facilitate projects in collaboration with local and
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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experience: Essential criteria PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline Postdoctoral research experience in genetic epidemiology, statistical genetics
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when
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postdoctoral researcher will perform independent and directed research to achieve the objectives of the research project within the Department of Computational Medicine and Bioinformatics. The specific