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aspects of research, conducting field research and development of physics guided machine learning models. The primary project focuses for this Part Time Research position deepening the understanding
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and Engineering Sciences at the University of Bonn, Germany, invites applications for a full W3 Professorship for Functional and 3D Modeling of Plants to be filled at the earliest possible date
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vivo (e.g., brain organoids) and in vivo (e.g., mice) experimental models. Our Group collaborates with colleagues based in two international consortia: CHARGE and ENIGMA. Our research takes place in both
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. Adaptation of pre-trained models for the detection of specific groups of proteins Where to apply Website https://campusvirtual.unican.es/coie/AgenciaColocacion/Ofertas/Detalle/4718?lan… Requirements Research
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). The institute also maintains locations in Dedelow and Paulinenaue. The position will be based in the Research Platform “Data Analysis and Simulation „within the Working Group “Ecosystem Modelling“ under
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manufacturing in resource strategies and system models for evaluating long-term transformation paths Your Profile: Excellent master`s degree in engineering, materials science, industrial engineering, energy
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, predictive modelling, and autonomous maintenance solutions. You thrive on scientific discovery, enjoy tackling complex multi-physics problems, and have the drive to explore innovative concepts
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biophysical network models of The Virtual Brain (TVB) type, we aim to mechanistically explain patient heterogeneity and identify prognostic biomarkers. This is a high-impact, interdisciplinary project bridging
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disease, systems biology (including the modeling of signaling pathways and biomolecular structure-function relationships), and stochastic modeling of disease processes such as progression, detection, and
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dysfunction in heart failure, sepsis, and related inflammatory conditions. Utilize in vitro and in vivo models, including mouse models of sepsis (e.g., CLP, LPS), ischemiareperfusion injury, and vascular injury