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collaboration with Q.ANT GmbH in Stuttgart, a deep-tech company that develops photonic computing and photonic sensing products. The goal of this project is the development of highly integrated vapor cells with
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in general with a particular focus on railroad infrastructure flexible, family-friendly working hours with the possibility of remote work a subsidized job ticket for local transport opportunities
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particular focus on railroad infrastructure flexible, family-friendly working hours with the possibility of remote work a subsidized job ticket for local transport opportunities for professional and personal
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equal opportunities Support in balancing work and family life Extensive advanced training opportunities Occupational health management offers Flexible working time models Opportunity to work remotely The
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the collective agreement of the public service (TV-L). We are looking forward to your application. Please feel free to contact us if you have any further questions. Your application documents should always include
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Frequent coachings and seminars for further education The Payment is directed after the collective agreement of the public service (TV-L). We are looking forward to your application. Please feel free
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“DiamondNanoNMR” we are looking for ambitious PhD students (75%, TV-L E13, limited to 3 years). Our mission is to apply quantum information concepts to nanoscale sensing. This emerging technology stands
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“DiamondNanoNMR” we are looking for ambitious PhD students (75%, TV-L E13, limited to 3 years). Our mission is to apply quantum information concepts to nanoscale sensing. This emerging technology stands
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remotely. Lounge lab, table football and social events. Regular training and further education. Remuneration is based on the collective agreement for the public service of the federal states (TV-L). The TV-L
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; extensive training and development opportunities; flexible and family-friendly arrangement of working hours and remote work. TUD strives to employ more women in academia and research. We therefore expressly