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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 days ago
. The researcher will build upon this existing framework and investigate potential improvements and extensions. The developed solution is expected to be energy-aware and designed to operate effectively on resource
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to be developed; - The candidate must have relevant experience in software development, particularly in data integration support, user management, and graphical interfaces. 3. Work Plan: This work plan
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structures made of cold-formed sections – 5 points; Experience in the seismic analysis and design of steel structures – 1 point; c) Research Experience in the project area – 5 points; in related areas – 3
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, Keigo, LeanStore, and TreeLine.; - Solid knowledge of heterogeneous storage stacks.; - Experience with the C++ programming language Minimum requirements: Proven experience in the design and implementation
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of Biotechnology. The candidate will be enrolled in INN’s PhD program in applied ecology and biotechnology, and the candidate must work from the designated workplace in Hamar. The appointed PhD candidate will work
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campus. Experiments will be carried out in the laboratory's experimental rooms or cold chamber, and fieldwork will be organised. The work will be supervised by Caroline Cohen and Christophe Josserand
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Number AE2026-0202 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0202.pdf CALL FOR GRANT
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? No Offer Description At AMADE (Analysis and Advanced Materials for Structural Design), we are a research group from the University of Girona (UdG) internationally recognised for our leadership in
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 17 days ago
methodologies and co-design approaches with end users and healthcare professionals. The work will foster skills in applied research, interaction design, and user experience evaluation, contributing
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of the candidate's training and experience to the objectives of the work to be developed; iii) Experience in data monitoring in the context of intelligent systems 3. Work Plan: i) Develop mathematical modeling systems