40 phd-in-mathematical-modelling-of-biochemical-reactions Fellowship positions at University of Michigan
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Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain
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the mathematical and statistical properties of the model in order to achieve higher agreement with biological assumptions and better interpretability. The candidate will have strong expertise in generative AI
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, biomedical engineering, applied mathematics, or related field. Working in team science. Desired Qualifications* The ideal candidate will have demonstrated experience in physical modeling of biological systems
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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recruiting a post-doctoral researcher to develop computational models to study the spatial organization and microenvironment interactions in tumors using spatial multiomic data. The lab focuses on mathematical
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determination including the active Ni(I) state of MCR and of CO dehydrogenase. Postdoctors in the laboratory have the opportunity to gain a wide range of biochemical experience in mechanistic enzymology
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of mRNA translation initiation and its implications for human health and disease, with a particular focus on repeat-associated non-AUG (RAN) translation. Using cryo-electron microscopy and biochemical
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to society. Required Qualifications* PhD in applied mathematics including mathematical biology, computer science, engineering, statistical physics, biology, or a related field. Reasonable communication skills
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) PhD graduate who is interested in strengthening their experimental, analytical, and publishing skills before transitioning to independence within academia or bio-pharma industry. Transferring
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research that together enhance our contribution to society. Required Qualifications* PhD in computer science, engineering, applied mathematics, statistical physics, biology, or a related field. Reasonable