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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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teaching at the Chair, in particular with a focus on the planning and design of railroad systems application and continued development of digital planning methods such as Building Information Modeling
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website: https://www.isse.tu-clausthal.de/. Your tasks are Research and development in the above mentioned topics. Design and implementation of prototypes. Publication of your results at national and
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this project, the candidate will design and use machine learning (ML) tools to classify and analyze X-ray and neutron scattering data. This project also includes implementation of FAIR concepts (Findability
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to learn and has a strong interest in research. Experience in the design, operation, or maintenance of membrane filtration systems (of any scale) is a definite advantage, as well as experimental problem
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coating, iii) investigation of system design from small-scale to potentially pilot scale, and iv) application to micropollutant removal. Modelling aspects are open to exploration at molecular and process
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the membrane pores and their impacts on the removal of a variety of micropollutants, iii), investigation of membrane characteristics and selection criteria, and iv) design of membranes to achieve complete