21 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at University of Lund
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Description of the workplace We are looking for a talented, motivated, and creative researcher with experience in intestinal cell biology, interested in applying this knowledge to bioengineering techniques such as organs-on-a-chip and biomaterials. You will become part of the interdisciplinary...
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fellow to work within cybersecurity and software engineering in a project funded by the Swedish Foundation for Strategic Research, SSF. Project description You will work in the RESIST project and primarily
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institution affiliated with both the Faculty of Engineering (LTH) and the Faculty of Science at Lund University. Within the division of Computer Vision and Machine Learning, there are several senior researchers
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difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se https://www.maxiv.lu.se/about-us/careers/compensation-benefits/
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are widely used in a variety of projects, in particular in the EU funded projects AVENGERS (which is coordinated by Lund University, https://avengers-project.eu) and IM4CA (https://im4ca.eu). Work duties The
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at strengthening research and educational environments within battery technology and electrification. Within COMPEL, the three institutions - Chalmers University of Technology, Lund University, and Uppsala
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development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic activity under realistic reaction conditions. Research is carried out in close
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hypotheses using modern molecular biology and genetic engineering approaches (including CRISPR-Cas-based gene editing), when required by the project. Documentation of methods and results to ensure
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Workplace description A vacant position is available in the Cell, Tissue and Organ Engineering research group (www.bourginelab.com) led by Paul Bourgine. The group specializes in the production
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based on wing morphology. This model will be trained of existing wing images and applied to images of museum specimens to estimate historical age structures over the last 150 years. Forecasting Shifts in