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the supervision team and prepare ethics, data-management and open-science materials. Complete a doctoral thesis and related research outputs under the host doctoral programme and EMANAIRE plan. Take part in local
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multidisciplinary forest research environment and work with academic, public- and private-sector partners. Methods will include field experiments and forest inventories, measurements of stand development and tree
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) Country Spain Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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tailor the research design to some extent: A programme combining measure development with field or team studies is plausible after discussion with the supervisory team about samples, settings, methods and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 5 hours ago
Framework Programme? Other EU programme Reference Number 2026-10476 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project will be carried out in the Inria
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for the development of innovative and enabling photonics components. The network will deliver a research and training programme focused on key steps in product development – from a concept to implementation through
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). The overall aim of the work programme is to undertake cutting-edge multidisciplinary research and development to make a step change in the understanding of Industrial High Temperature Heat Pump technology. The
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. About the position The doctoral student will plan and carry out field and laboratory studies, analyse and interpret data, and communicate results through scientific articles, conference presentations and
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, and Environment (ECE) program at IIASA is searching for a Researcher (R1)/ Research Scholar (R2) to work the Pathways workstream within the Exploring Real Zero project. The workstream develops a new
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and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data