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: development of automated workflows for multi-omics data generation. In this project you will integrate small-scale automated bioreactors with workflows for the generation of high-quality multi-omics data
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algorithms and circuits to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration
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technology and characterisation. Background within image processing, computer vision, or related fields. Background within in-line process monitoring or related fields. Furthermore, it is an additional
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skills in English, both written and spoken. Experience with project management or EU-funded projects is an advantage. Further information Further information may be obtained from Giovana Monteiro Gomes
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The Centre for Machine Learning located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark invites
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Social-LCA Design & Execution Develop and implement Social-LCA frameworks tailored to project needs. Identify social impact categories, stakeholders, and site-specific data requirements. Conduct inventory
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electrical energy storage systems; energy management systems. Experience with data processing, statistical analysis and machine learning techniques is an advantage. Knowledge with Mathworks suite, C/C++ and
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description We invite applications for a 2-year postdoctoral position with the possibility of extension. The successful candidate will lead experimental campaigns and data analysis to quantify greenhouse gas
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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cross-European research project FOOD-FRAMES. The FOOD-FRAMES project explores how the food information environment across nine European countries affects sustainable food choices, often hindering