31 parallel-and-distributed-computing Postdoctoral positions at Nature Careers in United States
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We are recruiting a group of postdocs who are eager to pursue ground-breaking biomedical research, and we will help them to establish themselves as future scientific leaders. This postdoc program is
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the forefront of RNA biology, utilizing massively parallel reporters to identify sequence and structural elements that regulate mRNA stability and translation. In this role, the candidate will leverage
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in these languages Familiarity with computational techniques of high performance massive parallel computing in Linux Environment e.g., on the basis of the Message Passing Interface (MPI) Ability
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in these languages Familiarity with computational techniques of high performance massive parallel computing in Linux Environment e.g., on the basis of the Message Passing Interface (MPI) Ability
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established a joint MD-PhD program for students to intensify their pursuit of Weill Cornell's triple mission of education, research, and patient care. WCM is divided into 24 basic science and patient care
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University, has established a joint MD-PhD program for students to intensify their pursuit of Weill Cornell's triple mission of education, research, and patient care. WCM is divided into 24 basic science and
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meets the following criteria: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in
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multidisciplinary research in broad program themes of Engineering Sciences for Computing and Data Science, Intelligent Systems and Materials, Advanced Electronics and Electrical Engineering, Sustainable and Smart
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single-cell genomics, epigenetics, and imaging technologies with computational approaches to unravel the mechanisms of immune cell fate decisions in health and disease. As a postdoctoral researcher, you
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
, to eventually complex tasks targeting carbon impacts of disturbances, forest productivity, and carbon uptake. Training the 3D-ABC Foundation Model involves extremely large volumes of data and computational