207 parallel-and-distributed-computing-"Meta"-"Meta" Postdoctoral positions at Nature Careers
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with skills in computation and image processing is highly desired. Excellent communication skills and an ability to work across platforms in a collaborative style are desired. St. Jude is an Equal
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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consortium SynThera funded by the Carl Zeiss Foundation (www.synthera.eu/ ). We are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research
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Open Call for GIST Postdoctoral Researcher at AI-Nano Convergence Initiative for Early Detection of Neurodegenerative Diseases Employer: GIST Location: Gwangju (KR) Salary: KRW 90,000,000 per year + benefits Closing date: rolling basis Goals & Expected Impact “Promoting human health through...
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directly into their DNA. The lab combines experimental and computational approaches to develop and apply barcode-based lineage recording systems, single-cell technologies, and perturbation tools to uncover
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 23 days ago
, benefiting from dynamic collaborations with mathematics, computer science, and CIRCLE (Centre for Innovation Research). This interdisciplinary affiliation offers unique opportunities to engage in innovative
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A brand-new two-photon microscope is ready to drive discovery—and we’re looking for a highly motivated Postdoctoral Fellow to join our NIH-funded research program at the Medical University of South
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and