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Field
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(genomics, transcriptomics, proteomics) to uncover structure–function relationships • Integrate experimental data to optimize material properties • Disseminating your project results to the public via peer
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development of your personal strengths, e.g. via a
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events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion
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comparative evaluation of different sensor variants construction of a sensor with miniaturized transducers, testing and characterization conducting experimental studies on real test facilities Requirements
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ 30 days of annual leave (depending on agreed working time arrangements) and provision for days off between
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cultures, organelle transfer, immunocytochemistry and others. We offer Structured PhD training through the Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (GAUSS / GGNB
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RNAs. It builds on our previous work (https://doi.org/10.1073/pnas.1908275116 , https://doi.org/10.1186/s13059-025-03507-8 , https://doi.org/10.1186/s13059-020-02081-5 & https://doi.org/10.1038/s41467
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Synergy PIs (Santiago, Bremen and Bern) to gain complementary skills and access specialised facilities, subject to the project plan and mutual agreement. Where to apply Website https://stellenangebote.uni