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Mathematics » Applied mathematics Researcher Profile Recognised Researcher (R2) Application Deadline 28 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded
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methods in rice processing, focusing on modeling, simulations, and optimizing post-harvest operations, including drying, storage, and milling. Research will emphasize energy efficiency, sustainability
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
-criteria evaluation and identification of optimal retrofit strategies. The scholarship holder will therefore work within the scope of assessing the energy performance and environmental impact of existing
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organization for basic and applied science. [Work content and job description] [Research fields] Mathematical Sciences (pure mathematics, applied mathematics, computer science, information science, artificial
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receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher, you will develop methods to functionalize graphene with a range
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visit the following websites for each position, where you can also access a full candidate brief. Accounting & Finance Department (Job Reference BUSAF1021) - https://jobs.leeds.ac.uk/BUSAF1021 Analytics
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30 Jan 2026 Job Information Organisation/Company CNRS Department Joint Robotics Laboratory Research Field Engineering Computer science Mathematics Researcher Profile Recognised Researcher (R2
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direction and publication. Research activities may include AI-assisted target discovery and biologic design, protein engineering and developability optimization, mechanistic studies in metabolic disease
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, within the scope of the R&D project “OPTIMIZED – Optimized interventions for eating disorders prevention and treatment”, operation nº 16211, COMPETE2030-FEDER-00736900, financed by the Fundo Europeu de
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing