484 evolution-"https:"-"https:"-"https:"-"https:"-"U.S"-"UCL"-"UCL" Postdoctoral positions in United States
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Field
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experiments and plan future research Ensures the accuracy and timeliness of data Assist in the development and refinement of lab protocols and participate in proposing alternative research techniques
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for effective reporting of research findings and project metrics. Responsibilities Research Development, Writing, and Editing Independently lead the preparation and submission of Institutional Review Board (IRB
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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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multiple research groups, attending meetings, and accessing institutional career development platforms at the University of Miami. This is a one-year position, with the possibility of a multi-year renewal if
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department's objectives. PRIMARY JOB RESPONSIBILITIES Conducting research on the epidemiology of suicide/self-harm and related mental health issues. Contributing to the development and implementation of suicide
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Postdoctoral Fellow position. The lab is working to explore the evolution of mammalian lifespan with the goal of better understanding the underpinnings of human aging. There is a strong emphasis on the aging
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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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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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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