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proteomics and immunopeptidomics, large-scale genomics, and machine learning to map novel translation products and test their potential as targets for diagnosis, immunotherapy, and drug development in cancer
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for robotic manipulation applications. You will collaborate with researchers working on flexible electronics, sensing systems, machine learning and robotics, and disseminate your results through scientific
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validate innovative methods for mapping soil compaction at the field scale by combining remote sensing, proximal sensing, and field measurements. You will develop and optimize machine-learning models
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: *Extensions of the eligibility period are possible based on documented absence for parental leave, long-term illness, military service or clinical training. Check the ERC Work Programme on the ERC website
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1 – Learning Mobility of Individuals for Staff
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) for unobtrusive cognitive state assessment. Holds a Master's degree in Electronics Engineering, Physics Engineering, Computer Engineering, Microsystems Engineering, Biomedical Engineering or a related field
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research. You have an affinity with both experimental research and simulation software. You possess strong technical knowledge, expertise, and hands-on experience in the field of electric machines
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any time change or withdraw your consent from the Cookie Declaration on our website. Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy. Please
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software. You possess strong technical knowledge, expertise, and hands-on experience in the field of power electronics. Additional knowledge of electric motor design and the control of electric machines is
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R, Excel, SPSS or you are interested to learn scientific programming. You have good communicative skills, and you have an open mindset to engage in collaborative and interdisciplinary research. You