1,434 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" positions at Nature Careers
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The successful candidate will develop computational approaches to discover, model, and develop therapeutic strategies. Examples of potential approaches include: -Network Modeling: Creating
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well as computational modeling. The development and numerical implementation of novel methods has become a key issue in modern oncology, both in terms of understanding the biology of cancers and for medical oncology
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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
Nature Careers | The Connacht Hotel Formerly Carlton Hotel Galway, Connaught | Ireland | 18 days agoAbout University of Galway Established in 1845, University of Galway is a research-intensive institution ranked among the top 2% of universities in the world with an annual investment in research of almost €90m. Comprised of four colleges, 18 schools and six research institutes, the University...
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
mission enabler programme under CORC, where other modelling activities will run in parallel to support and be supported by the findings of the digital twin solution. This innovative ambition is shared with
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the development of both, the quantum internet and distributed quantum computing. The objectives of this PhD thesis project are: (a) Demonstrate spin-photon entanglement with single colour centres in silicon carbide
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the exact calculation of the square-root and inverse square-root of the source distribution covariance matrix. This approach offers analytical and computational advantages in comparison to existing methods
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to well-known open-source projects or a personal portfolio of impactful open-source research code. Experience with large-scale distributed training and high-performance computing (HPC) environments.
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, excursions) Global geo-/paleomagnetic field modelling expertise is advantageous Strong programming skills, preferably in Fortran, Python and/or Matlab, parallel programming Experience in international
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of several researchers working in the field of inverse problems due to their ability of combining variational inference approaches with the ability of neural networks to learn unknown posterior distributions
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circuits regulating discrete targets in the periphery, including stereotaxic injections, viral tracing, chemogenetics and fiber photometry. In parallel, this project also involves the analysis