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Field
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, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms
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decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution
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spectroscopy. The present project will involve the following steps: • Development of scanning probe near-field sensors based on solution-synthesized metallic nanoparticles • Operation of an existing setup
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computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm
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, and/or services. Knowledge of laboratory equipment protocols and procedures. Knowledge of troubleshooting procedures. Knowledge of electronics, sensors, and control systems. Knowledge of vibrational
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systems. Experience in people leadership. Experience in management of Electrical safety in design, installation and operation. Experience of PLC based systems, sensors, field instrumentation, ultra-high
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experience in microcontrollers, control system design, and sensor integration. Knowledge and experience of plasma generation hardware and diagnostic methods. Further information It is essential that you
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, as well as sensors, actuators, and control architectures that are particular to the mechanical and process engineering disciplines. Successful candidates should hold a PhD degree or equivalent in
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systems. You will support digital project delivery and the University's Smart Campus initiatives, integrating spatial and sensor data to enhance building performance, space use, and user experience. From
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13.01.2020, Wissenschaftliches Personal PhD position at the Chair of Algorithms and Complexity. Candidate shall work on approximation algorithms for scheduling problems in parallel and distributed