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resources to enable high-impact translational research. ● Collaborate with faculty in molecular physiology, engineering, genomics, and computational biology to integrate omics data with mechanistic studies
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or MD/PhD training with emphasis in nephrology or renal physiology. Member of ACVNU and ACVIM or ECVIM PhD in renal physiology, molecular biology, biomedical engineering, or related discipline. Experience
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physiology. Member of ACVNU and ACVIM or ECVIM PhD in renal physiology, molecular biology, biomedical engineering, or related discipline. Experience developing mechanistic kidney models Experience with
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Qualifications Minimum Education and Experience A PhD in engineering or a related science is required, with at least one graduate degree in engineering or computer science. All degrees must be received from
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Program Associate manages the comprehensive student lifecycle for the Doctoral Programs (PhD and DDes) in the College of Design, providing expert administrative support from recruitment through graduation
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(or ability to obtain within 6 months) Preferred Qualifications PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, or a related field, with
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post-PhD experience in an applied informatics program, proficiency in high-throughput bioinformatics analyses integrating phenotypic and genomic data, and demonstrated associated publications. Experience
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Doctor of Philosophy(PhD) degrees in both Mechanical Engineering (ME) and Aerospace Engineering (AE). The department also offers an accelerated BS/MS degrees in both mechanical engineering and aerospace
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, Model Serving/Inference, and Monitoring. Technology Selection: Evaluate, select, and integrate appropriate cloud-native services (AWS, Azure, or GCP), hybrid and on-prem computing resources, and open
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/CloudFormation) for provisioning and managing all underlying compute, networking, and storage resources (e.g., Kubernetes clusters, GPU instances). Feature Engineering: Define shared data and feature management