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digitisation, archiving and utilization programme. Due to an expected broad public and scientific interest in the HEFA, very good communication skills are essential for networking with national and international
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., RiPPs) Expertise in high-throughput screening assays is advantageous Familiarity with automated liquid handling systems is a plus Excellent communication skills for interdisciplinary collaboration and
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, natural hazards management or related fields Interested in protective forests and their management Good quantitative skills (e.g., data analysis, simulation modelling, remote sensing) Good communication
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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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of mobile and optical communication networks and systems as well as video signal coding and data processing. In the field of photodetectors, HHI has a leading position worldwide. The dynamics of this field
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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
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programs at UTN are offered in English. German and English are the languages of work in administration, teaching, and research, while the official and legal language is German. Digital technologies, AI and
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Networks project. Planned research will investigate the characterization and recovery of bionanoparticles for vaccine delivery and gene therapy. Overall, 14 Doctoral Candidates will be trained at seven
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-dysfunction associated steatotic liver diseases). Our group is part of a vibrant scientific community at the TU Dresden and works closely with national and international partners within initiatives such as the
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description The position supports the Central Analytical Laboratory of the European research infrastructure Integrated Carbon Observation System (ICOS) - a Europe-wide observation network for greenhouse gases