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aims to strengthen interdisciplinary research among faculty, universities, research centers, industry partners, and government agencies to address global quantum challenges and prepare a new generation
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by integrating large-scale single-cell foundation models with structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under
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sequences. Development the analysis method and algorithm. 12 to 24 months: Photothermal, photoacoustic and hotspot characterization of several nanoagents with a significantly different hotspot effect
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to support research. Experience in computational chemistry, machine learning and/or algorithm development for chemical synthesis. Experience working with industrial/academic partners. How to Apply Applications
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-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources
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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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to design adaptive, efficient, and intelligent algorithms for hearing assistive devices. Key objectives include improving speech perception in noisy and unpredictable environments, reducing listening effort
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: automata theory, lambda-calculus, algorithmic game theory, or formal verification. If hired, we expect the University of Warsaw to be the primary workplace for the successful candidate. Criteria
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17 Feb 2026 Job Information Organisation/Company University of Malta Department Office for Human Resources Management & Development Research Field Engineering » Other Researcher Profile Recognised
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and Correction of Industrial Design Flaws – Towards Fail-Safe Industries) is a Business Finland funded research project with the objective to develop a new type of computer-aided design platform