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The Department of Astronautical Engineering is seeking a Part-time Lecturer to teach ASTE-583: Space Navigation. The applicant must have a PhD degree in an Engineering discipline and significant
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NSF funded projects, advancing the knowledge about distributed systems, developing novel algorithms for distributed resource and workload management, simulating and emulating systems, as
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algorithm for communication with discharged patients. Under the direction and supervision of the Transitional Care Coordinator, communicates frequently and directly with clinic physician staff and other post
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establish a new interdisciplinary program that will be used to educate graduate (Masters and PhD) students at the interface of Artificial Intelligence (AI) and Operations Research (OR) and to create a
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developing and applying algorithms, analytic pipelines, software and AI/ML tools for whole-genome, whole-exome, panel sequencing, genotyping, RNA-Seq data, and liquid biopsy for either clinical or research
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experience or a PhD. Proficiency in molecular and cellular biology and laboratory mice experimentation. Experience working in the higher education field is ideal. This is a full-time hourly position with work
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Background: Bachelor’s, Master’s degree, or PhD in Electrical Engineering, Electronics, or a related field Technical Expertise: Minimum 3 years of experience in analog circuit design and/or analog layout
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neuromodulation The ideal candidate should have a PhD in Physics, Biophysics, Biomedical Engineering, Computer Science, Neuroscience or related fields. Prior research experience (publications and programming skills
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translational research involving multimodal neuroimaging analyses, statistics, machine learning, and/or glucose metabolism are preferred. Education and Experience Requirements: PhD in neuroscience
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of Medicine offers competitive compensation, a generous benefit package and reasonable call responsibilities. Interested applicants should send or email their letter of interest and CV to: Susan Gurley, MD PhD