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remodels and heals under controlled in vitro conditions. In the first phase, you will validate and implement the BBoC technology. In the translational phase, you will study how a candidate pharmaceutical
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OpenML (tasks and automatically share detailed workflows and model evaluations. More than just a platform, OpenML fosters a collaborative ecosystem where scientists create new tools, launch
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-regulatory elements and transcription factor genes that control key physiological pathways to specifically adjust targeted gene expression to reshape complex traits. The project will develop a breakthrough
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interventional questions automatically will help decision-makers solve complex challenges (i.e., reducing methane emissions or reducing the infection rate during a pandemic). Most machine learning algorithms
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that are not only accurate but also transparent and explainable. This project focuses on the automatic perception of situational interest and state epistemic curiosity, which are motivational factors
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into mechanistic insight Lead a PhD student in development of a controlled flow system for in situ ATR-UV–Vis spectroscopy including polarization and use it to monitor the formation, orientation, and evolution
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that affects the measured data and translate the observations into mechanistic insight Lead a PhD student in development of a controlled flow system for in situ ATR-UV–Vis spectroscopy including
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science, spatial analytics, or a related field; experience with diverse spatial analytical methods; strong programming skills (e.g., Python) and version control (e.g., GitHub); experience working with multi
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, you will develop methods capable of automatically generating tailored metadata and associated documentation for defined user groups, integrated into widely used open-source data repository software
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, you co-design the power stage and heating mechanism to reach extremely high efficiency at industrial scale. Your research centres on two challenges: Topologies and control — You develop and compare MV