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(with openness to learning others): Computational protein design or molecular modeling Protein biochemistry / structural biology Cell biology and receptor signaling Good communication skills in English
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Proteins are key biomarkers, indicative of normal biological or pathogenic processes and responses to intervention. Identification and quantification of such molecules in biological fluids is
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) recording, near-infrared spectroscopy, peripheral biosignals, offline and online signal processing of brain signals and other biosignals, feature extraction, machine learning methods applied to brain patterns
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. We want to find out how these complex assemblies are built up. As traditional microscopy approaches are not suited to follow these minute, dynamic processes, the PhD students will use advanced
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and improve computational methods for the pre-processing of MS data, exploring new algorithmic approaches for signal detection, deconvolution, and feature extraction. Machine Learning for Chemical
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a manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool
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electronics, or related areas. • Familiarity with integrated circuit design, signal processing, or multiphysics simulations is advantageous. • Interest in cross-disciplinary research at the interface of sensor
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more complete picture of the applicant's scientific achievements. Evaluation criteria. The research project and the interview with the applicant will be evaluated on a 10-point system. The research
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hub investigating the critical roles of ion channels—particularly the TRP superfamily—in physiological and pathological processes. Our interdisciplinary approach spans from foundational
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tumors and metastases. Trends in Cancer (2024). 4) Biffi G. and Tuveson DA. Diversity and Biology of Cancer-associated Fibroblasts. Physiol Rev (2021). 5) Biffi G, et al. IL1-Induced JAK/STAT Signaling Is