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, including Computer Science, Electrical and Computer Engineering and Music and will be expected to participate in the preparation of research proposals and scientific publications. The candidate will also be
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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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structures. 3) Characterize the dynamics, mechanism, and pathway of self-assembly process and the structural and mechanical properties of the obtained assemblies 4) Compare the computed properties against
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Associate will work closely with Dr. Salter (PI) and be involved in all aspects of the research process. Research conducted within SPARCL will focus on the bi-directional relationships between collective
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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Description Applicants will be involved in NIH-sponsored research to address the impact of surgical trauma (orthopedic surgery) on the blood-brain barrier, glia activation, and neurodegeneration. Different
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to treat neurological disorders, including epilepsy, movement disorders, pain, addiction, and neurodegenerative diseases. Contribute to groundbreaking research with real-world impact. Key Responsibilities
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of sample processing and method development with multiple contract research organizations relating to toxicity, ADA and sample storage/labelling/stability studies will also be key responsibilities
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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will include: 1. Implementing and quality-assuring MR Fingerprinting scans on multiple clinical scanners 2. Integrating advanced imaging tools for image processing and analysis. 3. Coordinating closely