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one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
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-scale knowledge graphs, graph and semantic embedding techniques, and/or use of high-performance computing resources in research will contribute to the strength of your application. Required Qualifications
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for improved interpretability and generalization. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability to work collaboratively in interdisciplinary and cross
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and Machine Learning tools and algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability
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high level of professional expertise through familiarity with current scientific literature. As needed, develop innovative techniques and experimental systems to meet research program goals. Scientific
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one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
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for other critical illnesses including trauma, neurologic emergencies, sepsis, acute respiratory distress syndrome and heart failure. This is a 2-year position with an option to extend based on performance
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data storage and usage of high-performance computing resources provided at University of Michigan (Turbo Storage Globus, DataDen) Gene Expression Omnibus (GEO) data deposit for manuscript submission and
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work independently in the design and development of small molecule candidates of biological interest in oncology and immune-suppressive agents. High proficiency in compound isolation techniques (low
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systems. Develop, apply and refine advanced models for optical and laser system performance. Collect and analyze experimental data, draw conclusions and publish findings in high-quality peer-reviewed