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Systems - Prof. Youngseok Kim (Ohio State University): Quantum Computation & Quantum Algorithms https://youngseok-kim1.github.io/ykim.github.io/ 3. RESEARCH AREAS [Condensed Matter Physics] - Quantum
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position research project lies in cryptography, which is the science developing algorithms to protect information and communications from malicious attackers. The objective is to focus on the design
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reusable bioinformatics analysis pipelines for processing RNA -seq, single-cell RNA -seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when
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machine learning-based algorithms for global quantitative precipitation estimation using microwave radiometric observations collected by satellite radiometers onboard current and next-generation Low Earth
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Inria, the French national research institute for the digital sciences | Villers-lès-Nancy, Lorraine | France | 14 days ago
available at: https://homepages.loria.fr/GMoroz/postdocs/triangulation_automatique_2026.pdf Collaboration: The recruited candidate will work with researchers from the ANR StratMesh project (Gamble and
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Fellow, you will undertake independent research across quantum complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational
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Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0272.pdf CALL FOR APPLICATIONS: RESEARCHER Job/position/grant: Job reference: AE2026-0272 (CPES
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Digital Engineering prototype system. Develops and integrates operational ontologies, mathematical algorithms, dynamic and control algorithms, and advanced systems engineering approaches in support of
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Python environment of spectral libraries, chemometric procedures for processing drone-acquired hyperspectral data, and classification and model-selection algorithms aimed at identifying asbestos
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, and image processing. Tasks include the development of novel generative algorithms for music, the design and evaluation of transformer models, and the experimentation of deep learning techniques for