29 developer-"https:"-"IDAEA-CSIC" "https:" positions at Leiden University in Netherlands
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will do Existing paint or coating curing technologies typically rely on heat or high-energy UV light. To lower the carbon footprint of coating and paint curing, it would be preferable to develop
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Activities (PEAs) and their outputs. In response, this project will develop strategies for making PEAs more visible in OS monitoring exercises, with an eye toward supporting greater recognition and reward
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environmental assessment, offshore wind energy systems, biodiversity impacts, and life cycle assessment (LCA)? Are you interested in developing novel approaches to assess the ecological impacts of offshore wind
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evidence. The aim of this project is to investigate thoroughly whether tVNS genuinely improves cognitive functions. For detailed project information, see: https://rb.gy/wmiqqk (project WP1) Your
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work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. We are committed to curiosity driven fundamental research and
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better predictions of fire extents and its impacts on vegetation at regional scales. This is a contribution to INFLAMES (https://inflames-project.github.io/ ), a national research project on fires, with
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% to training and professional development, and 40% to teaching, including administrative responsibilities related to the educational programme. A PhD Fellow is expected to have completed a full draft of the
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personal development. You can count on an enjoyable job within the socially relevant world of education and research. The University's challenging and international work environment is located just steps
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activities are new to you, we will look together at what you need, and draw up a development plan. This position is a good fit for you if you recognise yourself in the following: Prior experience in
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the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from Mathematics (Inverse Problems