Sort by
Refine Your Search
-
Listed
-
Employer
- Uppsala universitet
- Linköping University
- Umeå University
- Chalmers University of Technology
- Chalmers University of Techonology
- Fureho AB
- KTH Royal Institute of Technology
- Lulea University of Technology
- Luleå University of Technology
- Lunds universitet
- Stockholms universitet
- Swedish University of Agricultural Sciences
- Umeå universitet
- University of Gothenburg
- University of Lund
- 5 more »
- « less
-
Field
-
/thesis: Industry-/collaboration PhD student in optimized off-road driving in forests Research subject: Soil science Description: We are looking for an industry/collaboration-based PhD student to develop a
-
system. DBTMI stands for "simultaneous digital breast tomosynthesis (DBT) and "mechanical imaging" (MI). This project aims to support clinical adoption of DBTMI by (1) Optimizing the DBTMI prototype; (2
-
, to automation and optimization, machine design, production, and production systems. Project Description This PhD project is part of the research project “Sustainable and Resilient Hydrogen Infrastructure
-
organization and management, innovation and entrepreneurship, and industrial and social marketing in technology- and innovation-intensive activities, to automation and optimization, machine design, production
-
into scaffold–cell interactions and contribute to the development of clinically relevant bone substitutes. Project goals Goal 1: Develop and optimize biomaterial inks replicating the composition of natural bone
-
the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics
-
to investigate the feasibility and advantages of new design principles for transceiver frontend design, including data converter solutions. Expected outcome is a disruptive and novel approach to co-optimized radio
-
principles for transceiver frontend design, including data converter solutions. Expected outcome is a disruptive and novel approach to co-optimized radio transceiver design with measured and verified state
-
Advanced Grant to determine the optimal combination of epitopes that elicits the highest level of protection. Within the research group, we value a positive work environment built on respect and
-
material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be validated in half-cells and full working batteries