169 evolution "https:" "https:" "https:" "https:" "University of St" "St" positions at DAAD

  • DAAD | Germany | about 1 month ago

    and contribute your own ideas flexible working hours and support in balancing work and family life comprehensive training and professional development opportunities a job ticket (public transportation

  • DAAD | Germany | about 1 month ago

    compounds, etc. The project will focus on the i) development of membrane filtration systems and operation with novel nanofiltration membranes, ii) examination of the physical/chemical processes inside

  • DAAD | Germany | 7 days 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 | 2 months ago

    at gsnas.fu-berlin.de Required Documents Required Documents Motivation letter CV Certificates Research expose References Language certificate Application Application https://www.jfki.fu-berlin.de/en

  • DAAD | Germany | 7 days 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 | 4 days ago

    : https://g.co/kgs/sSYfhBy Email: becainternacional@edomex.gob.mx

  • DAAD | Germany | about 1 month 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 | 7 days 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 | 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 | 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

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