167 evolution "https:" "https:" "https:" "UCL" "UCL" positions at DAAD

  • DAAD | Germany | 1 day ago

    must meet all of the eligibility requirements for a regular Gilman Scholarship as stated under https://www.gilmanscholarship.org/applicants/eligibility/ . In addition, applicants must be matriculated

  • DAAD | Germany | about 2 months ago

    letter Application Application https://www.cens.lmu.de/en/support/career-at-cens/ https://www.cens.de Contact LMU München Center for NanoScience Address StreetGeschwister-Scholl-Platz

  • DAAD | Germany | 9 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 | 28 days ago

    methods for photocatalytic membrane development.  The project will focus on i) photocatalyst selection, looking beyond the most commonly used materials, ii) exploring options of catalyst deposition and

  • DAAD | Germany | about 6 hours ago

    of mechanical cell activity – in this case growth/division and motility. For more information about the network and the project, please visit the central webpage ( https://cafe-bio.org/ ). Your Profile For our

  • DAAD | Germany | about 6 hours ago

    equivalent in Health Economics or a related field and speak English. If you want to join us, please apply until March 29, 2026 via our online application platform. https://www.drs.fu-berlin.de/user/register

  • DAAD | Germany | about 6 hours ago

    (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-applicationsystem: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76687

  • DAAD | Germany | about 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 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 | about 2 months ago

    about the ISSE Institute, please visit our website:  https://www.isse.tu-clausthal.de Your responsibilities include: Research and development in the field of software engineering for dependable and safe

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