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Field
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contribution to co-operation within the network. The tasks listed are not exhaustive and further activities and tasks may arise in the course of the doctoral thesis in order to achieve the research objectives
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artificial intelligence, computational cognitive science, human-computer interaction, computer science, information systems, or another relevant field. - A keen interest in pursuing interdisciplinary research
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Prevention through Design and Planning (PtD/P), risk assessment, and safety compliance checking processes, and new performance requirements and measurement (metrics) for both lean and safe workflow planning
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, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
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-B4 Investigators: Prof. Dr. Meng Wang, Chair of Traffic Process Automation , and co-supervised by another expert in traffic control Requirements: excellent or very good university degree
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aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its trunk around an object. Unlike traditional robots
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and utility systems necessary for their operation (e.g., electrical, water, telecom., transport networks); perform an integrated multi-hazard fragility and vulnerability analysis of CI using different
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seis-mometers, geophones, etc.), as well as in signal processing, High level of communication and teamwork skills, willingness to travel to the Middle East as part of a team, Structured and independent
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spectroscopy and signal-processing techniques. Ideally, you have experience with lasers and/or spectroscopy and programming (i.e. Matlab, LabView/Python). You are a highly motivated, enthusiastic, critical
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of hematopoietic stem cells. We are particularly interested in studying the processes and cellular signaling that lead to the emergence, maturation and expansion of stem cells in murine embryonic development and in