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  1. Grundversorgung 2.0 (Basic Provision 2.0)

    Beyes, T. (Project manager, academic) & Pias, C. (Project manager, academic)

    01.05.1230.06.15

    Project: Research

  2. Gründungsschulungen in Südafrika

    Gielnik, M. (Project manager, academic)

    01.02.1931.01.21

    Project: Practical Project

  3. Gründungsschulungen in Philippinen

    Gielnik, M. (Project manager, academic)

    01.06.1931.05.21

    Project: Transfer (professional training)

  4. Gründungslabor

    Schulte, R. (Project manager, academic)

    Europäische Union

    01.07.0402.02.09

    Project: Other

  5. Gründungsideenwettbewerb 2025

    Schulte, R. (Project manager, academic)

    01.01.2531.12.25

    Project: Practical Project

  6. Gründungsideenwettbewerb 2024

    Schulte, R. (Project manager, academic)

    01.01.2431.12.24

    Project: Practical Project

  7. Gründungsideenwettbewerb 2023

    Schulte, R. (Project manager, academic)

    01.01.2331.12.23

    Project: Practical Project

  8. Gründungsideenwettbewerb 2022

    Schulte, R. (Project manager, academic)

    01.01.2231.12.22

    Project: Practical Project

Recently viewed

Publications

  1. Reconfiguring Desecuritization
  2. Control of a two-thermoelectric-cooler system for ice-clamping application using Lyapunov based approach
  3. Participation in multi-level policy implementation: exploring the influence of governance culture
  4. Knowledge Graph Question Answering Datasets and Their Generalizability
  5. Determinants in the online distribution of digital content
  6. Bitcoin und Blockchain
  7. Navigating (In)Visibility
  8. The principle of unjust enrichment
  9. Junior High School Students’ Length Estimation Skills and Use of Strategies for Making Estimations
  10. Performance Saga: Interview 01
  11. Unlocking knowledge-policy action gaps in disaster-recovery-risk governance cycle
  12. Home range size and resource use of breeding and non-breeding white storks along a land use gradient
  13. Feature Extraction and Aggregation for Predicting the Euro 2016
  14. Editorial: Machine Learning and Data Mining in Materials Science
  15. Development and validation of a U.S. and German short version of the Later Life Workplace Index (LLWI-S)
  16. Effect of internal defects on tensile properties of A356 casting alloys
  17. Nest site selection and the effects of land use in a multi-scale approach on the distribution of a passerine in an island arid environment
  18. Forging of Mg–3Sn–2Ca–0.4Al Alloy Assisted by Its Processing Map and Validation Through Analytical Modeling
  19. Accuracy and bias of methods used for root length measurements in functional root research
  20. Reduction of capital tie up for assembly processes
  21. Tree mixtures mediate negative effects of introduced tree species on bird taxonomic and functional diversity
  22. The Politics of (Non)Knowledge in the (Un)Making of Migration
  23. A comparison between private and public access rules to bottlenecks - experiences and expectations from telecommunication and energy
  24. Modeling Converging Material Flows In The Supply Chain
  25. Estimation of minimal data sets sizes for machine learning predictions in digital mental health interventions
  26. CHANGING RECREATIONAL ACTIVITIES FOR REDUCING INSOMNIA SEVERITY? RESULTS FROM A SERIAL MEDIATION ANALYSIS ON THE IMPACT OF RECREATIONAL BEHAVIOR AS A MECHANISM OF CHANGE IN DIGITAL INTERVENTIONS FOR INSOMNIA
  27. Anisotropy and mechanical properties of dissimilar Al additive manufactured structures generated by multi-layer friction surfacing
  28. Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions:
  29. Article 11 Formal Validity
  30. The role of plant biodiversity in modifying the structure and functioning of higher tropic Levels in species-rich forests
  31. The role of task meaning on output in groups
  32. Analysis of the relevance of models, influencing factors and the point in time of the forecast on the prediction quality in order-related delivery time determination using machine learning