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directly using the apply button on the vacancy page on our website which will allow us to process your personal information with your approval. To apply, please send the following documentation via
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Science/Artificial Intelligence with demonstrable interest in quantitative analysis of physical/chemical data. You have experience or affinity with analysing industrial process data. You have experience
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website will be considered. You can apply until Monday 28 July 2025. The first interviews are scheduled for Monday 11 August 2025. Procedure As part of our selection process, an assessment may be
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of mechanical and physical properties of thin carbon/boron-nitride nanotube (CNT/BNNT) films. The goal of the project is to calibrate an existing numerical model and reproduce the realistic mechanical properties
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using the apply button on the vacancy page on our website which will allow us to process your personal information with your approval. This vacancy will be listed up to and including 27-June-2025. We hope
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transformation of RIDE into a modular, interactive digital tool (integration with existing university systems, no programming required). Finish the ethical approval process. Phase 1 – Design Research (6 months
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scientist who likes to work with and/or develop new spectroscopic instruments? And do you hold a PhD degree in physics (photonics), electrical engineering or a related field? Would you like to be involved in
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challenging organisation. The Faculty of Geosciences is organised in four Departments: Earth Sciences, Human Geography & Spatial Planning, Physical Geography, and Sustainable Development. In particular you will
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develop a simplified model focusing on the leader stage. You will: Analyze experimental data and microscopic simulations Identify relevant physical features and parameters Apply machine learning techniques
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directly using the apply button on the vacancy page on our website which will allow us to process your personal information with your approval. This vacancy will be listed up to and including June 16