258 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" PhD scholarships in Germany
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Responsibilities • Develop Probabilistic Machine Learning Models to integrate graphs and food-related omics data • Multi-omics integration using graph-structured prior knowledge • Analyze food-related (multi-)omics
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: It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome
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23.01.2026, Academic staff The Chair of Structural Analysis is seeking a highly motivated research associate (m/f/d) for our research project focused on developing methodologies for high fidelity
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-structured teaching programme and competent individual supervision as well as the opportunity to interact with a group of more than 100 other PhD students and post-docs in the same field of interest
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to drive the research forward. The network fellows will design and develop robust dispersive components based on sub-wavelength gratings waveguide structures to produce gratings for both intra-cavity and
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development, stack construction, system and component development, microscopy, spectroscopy) Presentation of findings at specialist conferences, publication in leading journals and active exchange with industry
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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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at the department. The main supervisor will be Prof. Dr. Kathy Lüdge from TU Ilmenau. Where to apply Website https://jobundkarriere.tu-ilmenau.de/jobposting/80cd5964173be4cf2a6646500503798… Requirements Research
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within the faculty participate in the programme. The course content is very broad and the specific subject of the dissertation depends on the institute. For research subjects, please see our website: http
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the University of Stuttgart, and with the right to award doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as