Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Curtin University
- RMIT University
- DAAD
- Lulea University of Technology
- Nature Careers
- ;
- Brandenburg University of Technology Cottbus-Senftenberg •
- Hannover Medical School •
- Leibniz
- Leiden University
- Murdoch University
- NTNU Norwegian University of Science and Technology
- Technical University of Denmark
- UNIOVI
- Umeå University
- University of Antwerp
- University of Cambridge
- University of Twente
- Utrecht University
- VIB
- Vrije Universiteit Brussel
- 11 more »
- « less
-
Field
-
Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines (WASM) Course type Higher Degree by Research Citizenship Australian Citizen International Student
-
Students Faculties and centres Faculty of Science & Engineering Engineering courses Western Australian School of Mines (WASM) Course type Higher Degree by Research Citizenship Australian Citizen Australian
-
Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
-
, both in applied and fundamental network science research areas. Moreover, there are ample opportunities to collaborate with other research groups at LIACS, for example, data science, text mining, and
-
Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and
-
data mining algorithms that can integrate and combine multi-modal data acquired from a variety of sources (smart watch sensors, spatial maps, building information sources (drawings and digital models
-
geriatric care in the Strukturwandelregion (former coal-mining region) of Saxony-Anhalt. The successful candidate will observe, follow, and engage various stakeholders (tech companies, care workers, local
-
innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
-
energy storage technologies and support the just transition of Europe’s end-of-life coal mines. The project will involve close collaboration with mining companies, geothermal technology providers, and
-
: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry