606 evolution-"https:"-"https:"-"https:"-"HFML-FELIX" Postdoctoral positions in United States
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Automatic enrollment in the Teacher Retirement System of Texas Health and Wellness: Free exercise programs and release time Professional Development: All employees have access to free LinkedIn Learning
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Imaging, etc.), unlimited computational resources, and dedicated professional development funding. St. Jude is consistently ranked among Fortune's "100 Best Companies to Work For" and is a top destination
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understanding of placental development through the integration of computational modeling and clinical imaging data within the Biomedical Flows Simulation and Multiscale Modeling (BioSiMM) Lab. Core
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translational questions in epilepsy pharmacology. Development of neurosteroid treatments for epilepsy and OP pharmacology. Design and perform experiments procedures involving epilepsy and seizure studies
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, the Researcher IV is a key driver of the lab’s academic output, leading manuscript development and substantively supporting the preparation of federal and internal grant proposals (e.g., R01, R21, R03, and P
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digital health and multi-agentic coordination. This role requires the development of self-learning artificial intelligence models tailored for dynamic healthcare environments. The candidate designs and
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at conferences, prepare manuscripts for peer reviewed journals, and mentor graduate students and research assistants. ● Additional opportunities include MRI pulse sequence development based on Pulseq and/or
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Sciences | Chemistry and Biochemistry Administration Post Doctoral Scholar to join the Department of Chemistry and Biochemistry at The Ohio State University in studying mass spectrometry method development
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and intervention development for over 15 years. We investigate interventions to prevent and eliminate human pathogens from hydroponic systems. Studies relevant to this opportunity aim to characterize
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development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and deploying applications in local or cloud environments. Experience working with large-scale datasets