675 structural-engineering-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" Postdoctoral positions in United States
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-be completed (typically within the last 0-5 years ) Ph.D. in engineering, operations research, computer science, applied mathematics, or a related field. Demonstrated expertise in mathematical
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surgical videos and clinical data Collecting and analyzing data to identify and address disparities in bariatric surgery Collaborating with a diverse team of clinicians, data scientists, and engineers
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: Have earned/expect to earn a PhD in a relevant field (such as Pharmaceutical Sciences, Textile Engineering, Chemical Engineering) Strong skills in formulation sciences/clinical pharmaceutics, project
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genetics. Genomic analyses: next generation sequencing - DNA and transcriptome, chromosomal microarrays, cell culture, qPCR, gene regulation assays, 3D chromatin structure. Prior experience in the area of
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Requisition Id 15340 Overview: The Power System Resilience (PSR) Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate (ESTD
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that will strengthen the nation’s leadership in creating solutions to help sustain the Earth’s natural resources. Our scientists conduct research, develop technology, and perform analyses to understand and
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
in mentoring and shaping the lab's interdisciplinary culture. We Are Looking For Someone Who • Has a PhD in computational biology, microbiology, systems biology, engineering, physics, CS, or a related
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to therapeutic modalities including immune checkpoint blockade, cytokine-based immune modulation, and engineered cellular therapies such as CAR-T platforms. The scholar will contribute to the development and
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental