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Field
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-informed machine learning (PIML) models for the prediction of physical and chemical properties using data from experiments and computation constrained by physics requirements. § Implementing algorithms
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toxicities, neuron-glia interactions, genetics and epigenetics will provide insights in identifying novel biomarkers and drug targets. Expand and improve skills: disease models based on genome-modified animals
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send materials to ukarvind@umich.edu with Subject "SIBL Bioinformatics Postdoc". Job Summary The Systems Imaging and Bioinformatics Laboratory (SIBL) in the Department of Computational Medicine and
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applications. Our research program consists of two main thrusts, 1) the development and application of state-of-the-art laser and optical sensing techniques - both on the ground and in flight - to better
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or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Core job duties include: (1) Designing, implementing, and
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environment. Successful candidates will be able to use electrophysiology, neuroimaging, chromatin biochemistry, functional genomics/informatics, and human 2D and 3D neuron models to explore the roles
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, organic chemistry, inorganic chemistry, physical chemistry, and biochemistry. Our department is in the top in the US, with our analytical chemistry program often ranked in the top 10 , as well as particular
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will involve investigating the physiological and functional variation of plants using spectroscopy and will include greenhouse work, field work, plant phenotyping, computational analyses of hyperspectral
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computational biology, who works well within a team. Excited about developing and applying cutting-edge ML/AI models to solve open problems in genomics and biology. Preferred Qualifications: Experience with
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in