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Field
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, supporting studies in electronic system reliability and maintenance strategies. Filter Rig: An experimental setup to study filter clogging phenomena, allowing for the collection of data to develop and validate
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computationally efficient numerical structural models. To support the condition (state) assessment, the project will also explore the use of advanced estimators (e.g., Kalman Filter) or Machine Learning models
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-22 eV or better, and powerfully test the Standard Model of particle physics. They further constrain CP-violating new physics at scales of 10-100 TeV, far beyond the reach of the LHC. The TUM and the
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useful life of electronic components, supporting studies in electronic system reliability and maintenance strategies. Filter Rig: An experimental setup to study filter clogging phenomena, allowing
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our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the mechanisms, and time scales involved at particle scale, for the formation and failure
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labs to measure more complex properties such as foaming, phase separation or particle formation, and fine-tune our AI models. In this project, you will combine a deep knowledge of physical chemistry with
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chromatograph, FIA and electronic particle counters i.e., Coulter counters also available. As a PhD fellow, you will be associated with the research groups and get access to instrumentation of your main and co
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particles, the birth of the universe or the functioning of the brain. If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online
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interactions. Safety Layer: Introduce a supervisory “filter” based on control-barrier functions that provably enforces state constraints (e.g. collision avoidance, bounded inputs) without destroying
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dispersion - and develop a system to disperse the particles. The project will explore the options for dispersion and the options for nozzle design and whether substantial additional air supply is needed