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collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational
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journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation
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optical spectroscopies. In parallel, various science outreach activities will also be developed. Workplace: The work will be developed at the research group Cultural Heritage and Responsive Materials
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whenever needed. An important additional aspect of this project is the creation of samples with defined microstructures to validate the results of parallel PhD projects on modelling. The successful candidate
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conduct world-class applied research. We change and make a difference. Do you want to become one of us? Work description The PhD positions are part of the research portfolio within Mechanical Engineering
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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, are offered when necessary to meet competitive conditions. The posted UC academic salary https://www.ucop.edu/academic-personnel-programs/compensation/2025-26-academic-salary-scales.html ) set the minimum pay
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» Knowledge engineering Engineering » Aerospace engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 30 Jun 2026 - 00:00 (Europe/Lisbon) Type
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collected for various experiments and interpret to understand biology of plant-pathogen interactions Collaborate with other lab members on various projects to conduct computational analyses in parallel
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing