52 composite-residual-stress-development Postdoctoral positions at Stony Brook University
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with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly desirable
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experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly
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experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly
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Postdoctoral Scholar, named in honor of Dr. Meave Leakey’s extraordinary contributions to the understanding of human and primate evolution in the Turkana Basin, will join the SHaPE (Studies in Human and Primate
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intelligence, AI-based data analysis, transcriptomics, proteomics, genomics or spatial omics. Interdisciplinary background or interest. A focus on Wet Lab research development. Candidates with experience
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intelligence, AI-based data analysis, transcriptomics, proteomics, genomics or spatial omics. Interdisciplinary background or interest. A focus on Wet Lab research development. Candidates with experience
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neurological conditions. The Postdoctoral Associates primarily will be responsible for developing human clinical research protocols and preparing applications for IRB, RDRC, or IND, collecting PET and/or MRI
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mathematical analysis, and implementation level where actual systems for these proofs are developed for deployment in larger real world applications. An ideal candidate would have multiple publications
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models, with a focus on their applications to next-generation MR image reconstruction. Train deep neural networks; perform quantitative data analysis, collect and analyze data, including periodic
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models, with a focus on their applications to next-generation MR image reconstruction. Train deep neural networks; perform quantitative data analysis, collect and analyze data, including periodic