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the foundations of ultrasensitive molecular manipulations techniques within microfluidic environments. What You Will Do Design and conduct thermofluidic manipulation experiments using plasmonic substrates Work with
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mobility, and create a collaborative environment. TUD and the CRC embody a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation
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mobility, and create a collaborative environment. TUD and the CRC embody a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation
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(including annual special payment) Contribution to your company pension plan (VBL) On-site opportunities for health promotion How to apply and information: Please, contact Dr. Mariana Schuster for additional
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innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves
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plan by conducting experiments, sample and data analysis, and write up of results for scientific publication are part of the PhD process – a journey to become an independent researcher! Throughout
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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
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are remunerated according to salary group E 13 TV-L) starting at the earliest possible date in a DFG funded project „Blueprint for a modern sustainable phosphorus chemistry“. The position comprises 50% of the full
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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