60 web-programmer-developer-"St"-"UCL"-"St" Postdoctoral positions at Northeastern University
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research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions that matter to society and impact the Maine economy. Postdocs will receive formal and
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processe Key Responsibilities 1) Perform research. 2) Prepare and write research papers, grant proposals, presentations, etc. 3) Train and supervise graduate students and undergraduate students. 4
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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surveillance, prevention, and control of infectious diseases. Example projects include assessing drivers of global infectious disease dynamics and developing short- and long-term forecasts for those diseases
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materials chemistry to tackle challenges in catalysis, energy, and sustainability. One of the major interests of our group is in developing functional materials for applications focused on gas storage and
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Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST group aims to bring fundamental changes in the way the sensors and electronic devices are developed using materials designed for sustainability, and
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communications, and producing marked impact on underrepresented communities in STEM. The successful candidate will be expected to contribute to ongoing projects, e.g. developing HEP research capacity in Latin
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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include a combination of the following responsibilities. Assist in intiating, executing, and completing clinical research and experiments (60%); Prepare and write research papers, presentations, and grant
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researcher to start as soon as possible. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate