52 parallel-computing-numerical-methods-"MIT" Postdoctoral positions at Indiana University
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postdoctoral experience necessary at the time of appointment. Preferred Qualifications: The preferred candidate will have experience in all modern microbiological methods, and a strong interest in learning
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short-horizon forecasting and patient-specific rebasing; implement data-assimilation methods (Kalman/Bayesian updating); design anomaly detection and missing-information inference logic. 40% Software
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biomedical imaging methods, with particular emphasis on optical, ultrasound, and photoacoustic technologies. Working under the supervision of Dr. Ying Jiang, the candidate will contribute to the development
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discipline · Mastery of standard molecular cloning methods · Mammalian Cell culture · Genome editing · Fluorescence Microscopy · Teamwork skill · Proficiency in written and oral communication Department
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undergraduate students and provide training in relevant laboratory methods. Contribute to a safe, collegial, collaborative, and intellectually engaged laboratory environment. Anticipated start date
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, combined with state-of-the-art methods generative protein design, directed evolution, next gen sequencing, and laboratory automation to develop B12-dependent enzymes or artificial metalloenzymes
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undergraduate students and provide training in relevant laboratory methods. Contribute to a safe, collegial, collaborative, and intellectually engaged laboratory environment. Anticipated start date
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state-of-the-art methods generative protein design, directed evolution, next gen sequencing, and laboratory automation to develop B12-dependent enzymes or artificial metalloenzymes containing
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, oscillation, response-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB , R, or related computational environments
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publications. • Experience designing and conducting quantitative, qualitative, or mixed-methods research. • Experience working with community partners or stakeholder-engaged research. • Experience in population