Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- DAAD
- University of Groningen
- ;
- Nature Careers
- Technical University of Denmark
- Cornell University
- Cranfield University
- Ghent University
- The University of Iowa
- Utrecht University
- ; Swansea University
- Chalmers University of Technology
- Duke University
- KNAW
- NTNU - Norwegian University of Science and Technology
- RMIT University
- Technical University of Munich
- University of Adelaide
- University of Nottingham
- Vrije Universiteit Brussel
- ; Cranfield University
- ; The University of Manchester
- ; University of Greenwich
- ; University of Leeds
- ; University of Nottingham
- ; University of Sheffield
- ; University of Surrey
- ; University of Warwick
- Aalborg University
- Aston University
- Curtin University
- Empa
- Heidelberg University
- Institut Pasteur
- Leibniz
- Monash University
- OsloMet
- Queensland University of Technology
- Radboud University
- SciLifeLab
- Trinity College Dublin
- UiT The Arctic University of Norway
- Universiteit van Amsterdam
- University of Copenhagen
- University of Louisville
- University of Sheffield
- University of Southern Denmark
- 37 more »
- « less
-
Field
-
16.08.2023, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at the Technical University of Munich invites applications for the position of a Research Assistant
-
a step-change in our ability to observe, quantify and understand forest disturbances and recovery by using time series of the most detailed structural and radiometric 3D forest models ever built
-
well as knowledge representation and inference. In the research project DrawOn, new technologies for analyzing 2D digital drawings and reconstructing 3D building models will be developed. The goal of this project is
-
nature and forests and a keen interest in forest ecology Keen to carry out fieldwork (Brazil, Belgium, UK and Australia) Previous experience with (terrestrial) laser scanning and 3D modelling is a plus
-
function. The candidate will participate in an integrated set of projects aimed at developing a model of the normal human lung against which individuals can be compared to identify and evaluate early