200 web-developer "https:" "https:" "https:" "Newcastle University" positions at DAAD

  • DAAD | Germany | 2 months ago

    using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering

  • DAAD | Germany | 5 days ago

    Description We invite applications for a fully funded PhD position within the DFG Priority Programme SPP2389. https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389?set_language=en

  • DAAD | Germany | 7 days ago

    excellent research opportunities due to the University, three Max Planck institutes, the University Hospital, and Europe’s largest AI research consortium. You can find out more about Tübingen here: https

  • DAAD | Germany | 2 months ago

    for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute to the studies of protein

  • DAAD | Germany | 2 months ago

    position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context

  • DAAD | Germany | 2 months ago

    the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data

  • DAAD | Germany | about 11 hours ago

    courses or doctoral candidates Selection Selection is made by the National Science and Technology Council - NSTC Further information National Science and Technology Council - NSTC https://www.nstc.gov.tw

  • DAAD | Germany | about 1 month ago

    applies), preferably via the TUD SecureMail Portal  https://securemail.tu-dresden.de by sending it as a single pdf file to  mlcv at tu-dresden.de  or to: TU Dresden, Chair of Machine Learning

  • DAAD | Germany | 10 days ago

    : Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic

  • DAAD | Germany | 22 days ago

    flow”, which is one sub project in the European Training Network COMBINE, where a total of 17 PhD positions are available at the premises of 14 European institutions from academia and industry: https

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