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Field
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of traffic conditions (inflow turbulence, orientation (yaw angle) of the incident flow with respect to a passenger car) and road conditions (roughness, boundary layer, rolling road) on the wake dynamics
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these determinants, we will harness the diversity of aspartic proteases from the model plant Arabidopsis thaliana and deploy chemical synthesis, advanced modelling, protease biochemistry, mass spectrometry and
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process conditions. Furthermore, this research will focus on the development of a model, allowing for virtual testing and optimisation of the chemical recycling process. This includes potential
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and defects, with unprecedented detail. Through this work, you will uncover the fundamental links between synthesis conditions, microstructure, and macroscopic properties of layered materials. Your
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system can reduce dependence on fossil fuels – but at the same time brings new challenges and uncertainties. Disruptive events and changing political, social, and technological conditions can have a
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the formation rates or composition of a biominerals from known environmental conditions. This project aims to construct such a model. The ultimate goal is to create a general framework for predicting
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diabetes, pancreatitis, and pancreatic cancer—conditions that are epidemiologically linked, though their molecular interplay remains unclear. Pancreatic cancer, one of the deadliest solid tumors with a five
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effect can be predicted. You will acquire in-situ and remote-sensing data of cirrus forming downwind of flights over the past decade, along with measurements/estimates of local conditions and emissions
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dynamically over time. Second, clinical conditions such as infection, sepsis, ventilation, and hemodynamic instability are often interconnected, necessitating a holistic modeling approach. Third, there is a
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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description