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development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and deploying applications in local or cloud environments. Experience working with large-scale datasets
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-scale or cloud-based genomic analysis Willingness to learn new languages and tools as the field grows SUPERVISORY RESPONSIBILITIES: This position will involve co-mentoring of students and other
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understanding of single-cell biology, recent technologies and data science. Experience with cloud computing platforms will be an advantage Experience with wet-lab protocols RNA-seq and scRNAseq is preferred but
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GPU acceleration, cloud computing, and distributed architectures, to enable efficient analysis of large-scale video datasets. Collaborate with clinical and academic collaborators, external partners
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About the Role Applications are invited for a Research Fellow to work with Prof. James Sprittles and collaborators on the EPSRC Open Fellowship entitled “From Nanofilms to Clouds: A Modelling
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optical, wireless and cloud technologies. The position will be based in the School of Computer Science and Statistics, with Prof. Ruffini research team and affiliated with the ADAP research centre on AI
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
- and planet-forming regions, from clouds to disks, with links to exoplanets and our Solar System. The starting date is expected on September 1st, 2026, or later, for 3 years guaranteed, with
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with PyTorch, required to have experience developing code with a team through collaborative version control Experience working with large datasets and cloud computing environments. Solid background in
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Woods Hole Oceanographic Institution | Woods Hole, Massachusetts | United States | about 1 month ago
-the-loop validation, and performance evaluation for detectors (precision/recall, PR curves, etc.). Experience with scalable computing (HPC/cloud), workflow automation, and/or containerized/reproducible