RSS feed source: National Science Foundation

Synopsis

The National Center for Science and Engineering Statistics (NCSES) of the National Science Foundation (NSF) is one of the thirteen principal federal statistical agencies within the United States.  It is responsible for the collection, acquisition, analysis, reporting and dissemination of objective, statistical data related to the science and technology (S&T) enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers and the public. NCSES uses this information to prepare a number of statistical data reports including Women, Minorities and Persons with Disabilities in Science and Engineering and the National Science Board’s biennial report, Science and Engineering (S&E) Indicators.

The Center would like to enhance its efforts to support analytic and methodological research in support of its surveys as well as promote the education and training of researchers in the use of large-scale nationally representative datasets. NCSES

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RSS feed source: National Science Foundation

We are excited to announce two postdoctoral research opportunities in our lab, each with distinct focus areas and skill requirements. Both positions offer competitive compensation and comprehensive benefits.

1. Postdoctoral Position in Materials Informatics

We are seeking a highly motivated postdoctoral researcher with a strong background in materials informatics. The ideal candidate will have extensive training in their Ph.D. program and be capable of independently conducting research involving materials informatics. The specific focus areas encompass at least one of the following disciplines: scientific machine learning, materials informatics, and polymer physics/chemistry. The successful candidate will be responsible for designing and executing machine learning techniques for innovative polymer design and synthesis.

2. Postdoctoral Position in Hybrid Organic–Inorganic Perovskites (HOIPs)

We are also looking for a postdoctoral researcher with extensive expertise in computational modeling of HOIPs, such as density functional theory and ab initio molecular dynamics. The

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RSS feed source: National Science Foundation

Job ID: 257124

Senior Research Associate
University of Oxford <!– ATTACHED PICTURES:   –>

We are seeking to appoint a highly motivated Senior Research Associate in Multiphysics Modelling of Brain Health. You will be part of an interdisciplinary team of researchers with the primary aim to understand the impact of age, trauma, and neurodegenerative diseases on the brain’s unique form and function. We pose that brain shape changes result from continuously evolving microstructure that may be affected by neurodevelopment, age, degeneration, and injury. We seek to uncover fundamental mechanisms of healthy and accelerated brain aging by coupling neurobiology and mechanics to create multiphysics-informed predictive models of

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