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://intelligent-vehicles.org .). The intelligent vehicles section consists of three groups (Machine Perception, Human Factors and Dynamics & Control). The groups collaborate together to Increase the safety, comfort
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supervised by Dr. Georgios Papaioannou (Intelligent Vehicles Section at Cognitive Robotics Department). The intelligent vehicles section consists of three groups (Machine Perception, Human Factors and
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-governed food systems. Your profile: You have a master’s degree in law or a related discipline in the social sciences or humanities; You are interested in conducting research on a topic related to the
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, like animal models, poorly predict the human response to the drugs. This has resulted in 90% of drug failure after the preclinical phase. There is a great need for newer models and Organ-on-a-chip (OoC
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aspiring data science researcher with an interest in human immunology, causal inference in dynamical systems, and/or computer vision? Would you like to apply AI and machine learning for fundamental research
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this collaborative project, we will investigate the mechanisms of tRNA gene regulation using novel methods and technologies in human cells and budding yeast. We will take advantage of CRISPR-mediated approaches, high
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Job related to staff position within a Research Infrastructure? No Offer Description Problem: Current preclinical drug development models, like animal models, poorly predict the human response
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student will study CILP regulation, interaction, function and mode of action using an innovative 3D cell culture model containing human stem cell-derived cardiomyocytes and cardiac fibroblasts (engineered
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challenges to societal cohesion and organizational performance. The proposed project aims to explore the relationship between misinformation and organizational trust. Specifically, the project aims to address
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the relationship between misinformation and organizational trust. Specifically, the project aims to address two overarching objectives: (1) examining the impact of misinformation on institutional trust and (2