Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nord University
- Humboldt-Stiftung Foundation
- Susquehanna International Group
- University of Tübingen
- Ghent University
- MASARYK UNIVERSITY
- NTNU - Norwegian University of Science and Technology
- Nature Careers
- University of Cambridge
- Aarhus University
- DAAD
- Monash University
- SciLifeLab
- Universiteit van Amsterdam
- Utrecht University
- ;
- ; Edge Hill University
- Bielefeld University •
- Curtin University
- Ecole Polytechnique Federale de Lausanne
- Forschungszentrum Jülich
- Institute of Science and Technology Austria (ISTA)
- Los Alamos National Laboratory
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Marine Microbiology •
- Norwegian University of Life Sciences (NMBU)
- Rutgers University
- Technical University of Munich
- Umeå University
- University of Adelaide
- University of Göttingen •
- University of Melbourne
- University of Miami
- University of Minnesota
- 26 more »
- « less
-
Field
-
, the Max Planck Institute for Biogeochemistry houses a unique and flexible research program that grants German and foreign students a broad selection of learning opportunities while still maintaining a
-
Job Code: 9521 - Research Assistant and 9529 - PhD Candidate Research Assistant Employee Class: Grad/Prof Student Position This position will provide support for lesson plan development relating
-
The Institute of Science and Technology Austria (ISTA) is looking for highly qualified candidates with Bachelor’s or Master’s degrees to apply for our PhD program. We offer fully funded PhD positions
-
funding affect the subsequent performance of firms and scientists, in terms of outputs such as the number of papers, products, patents, etc. (Can an optimal applicant template be developed by training
-
We are a young, innovative university in the middle of the Metropole Ruhr. Excellent in research and teaching, we think in terms of possibilities instead of limits and develop ideas with a future
-
focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust
-
an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
-
public audiences and taking part in a pilot programme where experience can be acquired in high school science teaching; use graph theoretical tools to develop new fundamental frameworks and analytic tools
-
strategies, fine-tune parameters, and respond to anomalies as needed Education. Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate
-
model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate