222 data-compression positions at DAAD

  • DAAD | Germany | about 15 hours ago

    degree programmes must have a designated STEM focus. It must be a tuition-free Master's degree programme. Please read point A.15 in the important information for scholarship applicants. Funding is not

  • DAAD | Germany | about 13 hours ago

    covered by other funding providers: Further information Further information For further information see: www.daad.de/dlr Application requirements What requirements must be met? At the time of

  • DAAD | Germany | about 13 hours ago

    and are not covered by other funding providers: Further information Selection An independent selection committee consisting of professors from German universities or research facilities reviews

  • DAAD | Germany | about 16 hours ago

    Payment of 450 euros a month; additional costs for the framework programme Selection The selection will take place in the DAAD branch office Paris. Further information Catherine Eudine DAAD branch office

  • DAAD | Germany | about 2 months ago

    the DFG-funded research project ICEBAY, which focuses on Bayesian hierarchical modeling and probabilistic inference for temperature reconstruction by combining borehole thermometry and ice-core data. The

  • DAAD | Germany | 24 days ago

    of internal ex-change platforms (database, information pages, etc.) summarizing the results of the individual doctoral study project in a dissertation within the due time of 3 years. Requirements: hold an

  • DAAD | Germany | about 2 months ago

    information can be found at:  https://www.ipb-halle.de/en/institute/ Data protection: Please note the data protection information for applicants (m/f/d) according to Article 13 and 14 GDPR on data protection

  • DAAD | Germany | about 1 month ago

    Description For our location in Hamburg we are seeking: Doctoral Researcher in Machine Learning and Data Processing in the Field of Seismic Measurements Remuneration Group 13 | Limited: 3 years

  • DAAD | Germany | about 2 months ago

    Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by

  • DAAD | Germany | 24 days ago

    and gaps in the availability of high-quality cost data. The aim of this project is to develop and implement a high-quality costing tool for estimating the costs of government-led STH control programs

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