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or she will be guided by PI to design and conduct experiments with mouse models and human T cells isolated from healthy donors. Besides, she or he will collaborate with other team members to analyze
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modification. By marrying first-principles theory – trade-off analysis, game theory, reaction-diffusion, and consumer-resources models – with single-cell tracking and synthetic community experiments
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset Team player Proficient knowledge in English is
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modeling are applied. To learn more about the lab: https://www.mdanderson.org/research/departments-labs-institutes/labs/xufeng-chen-laboratory.html The incoming fellow will receive training and conduct
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explored. These strategies will be evaluated on cellular and mouse disease models, in order to determine whether APP editing can reduce pathogenic effects caused by amyloid-beta. In addition to gene editing
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Schizosaccharomyces pombe as a model organism. Representative publications include: Nature (2011), PMID: 21725325; Molecular Cell (2016), PMID: 27666591; Cell Reports (2016), PMID: 26832414; PNAS (2021), PMID
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Hospital, and with experts in mathematical modelling at the translational research hub IceLab , Umeå University. Work responsibilities As a postdoc in our team, you will be an integral part of a dynamic and
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longevity. Position Responsibilities: Measure molecular hallmarks of aging in experimental model systems of iterative T cell stimulation. Draft manuscripts. Present work at internal and external meetings
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. A major focus will be on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available