Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- University of South-Eastern Norway
- Nanyang Technological University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Universidade de Coimbra
- University of Bergen
- Zintellect
- Carnegie Mellon University
- Harvard University
- King Abdullah University of Science and Technology
- The University of Queensland
- UiT The Arctic University of Norway
- Universidade Nova de Lisboa
- University of Adelaide
- University of Aveiro
- University of Birmingham
- University of Cincinnati
- University of Stavanger
- University of Texas Rio Grande Valley
- Western Norway University of Applied Sciences
- 10 more »
- « less
-
Field
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 23 minutes ago
will be a preferential factor if the candidate demonstrates proven experience in discrete element modelling, particularly using YADE. Selection process Selection methods: The selection methods will be
-
synthesizing thin-film composite (TFC) hollow fiber membranes Processing and modifying polymeric materials into the design of TFC hollow fiber membranes Characterizing polymeric TFC hollow fiber membranes
-
Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
-
project progress control ability, channel development and industry exhibition promotion ability Hard skills: 2 or more language skills, design software use and manufacturing processing ability Solid
-
(EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community
-
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 7 days ago
LARSYS/ISR BASE 2025-2029 - LASEEB LAB/ISR, financed by national funds through FCT/MCTES (PIDDAC Workplan: Implement discrete‑time fractional‑order state‑space models of anesthetic‑induced brain dynamics
-
wastewater treatment plants, with the following main objectives: 1 - Model calibration through Machine Learning methodologies using process data. 2 - Development of a multimodal online sustainability
-
candidate will be assessed on a scale from zero to twenty points, and candidates with a final score below 14 points will be excluded. 11. Composition of the Selection Jury: President: José Luís Oliveira
-
that come in touch with human skin can serve as vehicles for transport of diseases and their spread throughout human communities. This infection process can be mitigated by surfaces on which microbes cannot
-
, Large Language Models (LLMs), Natural Language Processing (NLP), etc. The research will also explore distributed data processing frameworks to ensure robustness, interoperability and scalability in DPP