Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Munich
- DAAD
- University of Groningen
- Chalmers University of Technology
- Ghent University
- Curtin University
- Erasmus University Rotterdam
- Nature Careers
- Technical University of Denmark
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- ;
- ; Brunel University London
- ; Newcastle University
- ; University of East Anglia
- ; University of Oxford
- Cranfield University
- Forschungszentrum Jülich
- Harper Adams University
- Monash University
- Radboud University
- SciLifeLab
- Trinity College Dublin
- University of Adelaide
- University of Antwerp
- University of Cambridge
- University of Copenhagen
- University of Tübingen
- 18 more »
- « less
-
Field
-
well as topics in phylogenetics. This project will involve working closely with experimentalists, and will be co-supervised by Prof Gerald McInerney and Dr Daniel Sheward, who have expertise in virology and
-
the development of new algorithms for processing, analysis and inversion of active and passive seismic data and the application of these algorithms to field data. Student type Future Students Faculties and centres
-
algorithms, AI-driven applications and generative AI, exploring how legal mechanisms can prevent and remedy systemic biases that adversely impact LGBTQ+ individuals and which legal routes are available
-
. The position is hosted at the Chair for Algorithms and Complexity, headed by Prof. Susanne Albers (http://wwwalbers.in.tum.de/index.html.en). The dissertation work will involve research in the fields
-
algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
-
systems. Remuneration is 100% TVL E13 according to the German public sector rates A PhD Position is available at the Chair of Algorithms and Complexity. The PhD candidate is supervised by Prof. Harald Räcke
-
, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
-
. Defining predictive tasks based on clinical goals. Selecting and setting up appropriate data preprocessing pipelines. Training and evaluation of computer vision models. Internal and external algorithmic
-
remote sensing imagery (e.g. roof material and condition, wall materials, type of building) Generating results from these algorithms for areas requested by our industry partner Documenting and packaging
-
world is continuously sensed and/or explicitly shared to provide a model of 6G network environment and its users – encouraging design of algorithms, protocols, and systems that “intelligently” fuse data