Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- University of Lund
- Linköping University
- Swedish University of Agricultural Sciences
- Umeå University
- SciLifeLab
- Nature Careers
- Lulea University of Technology
- Örebro University
- Linnaeus University
- Blekinge Institute of Technology
- KTH
- Karlstad University
- Mälardalen University
- 4 more »
- « less
-
Field
-
and development centre – an excellent infrastructure to develop and optimize membrane processes from lab to pilot scale. The project is part of COMPEL. COMPEL, "COMPetence for the ELectrification
-
., information inference); Intersection between regulatory and technical aspects (EU NIS-2 Directive), e.g., compliance optimization and automatization. The PhD students will belong to the graduate school within
-
principles as well as material properties of extremely thin silica membranes. In this project, you as a PhD candidate will carry out: detailed theoretical studies and optimization of light guidance in HCFs
-
finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the
-
the applicant: - For the dissertation and the subject relevant knowledge and skills, for example demonstrated strong background knowledge at advanced level especially related to automatic control, optimization
-
Subject description Mathematics in a broad sense, which also includes mathematical statistics, numerical analysis and optimization theory. Duties As an associate professor within the framework
-
proteins, significantly advancing our ability to refine and optimize spinning methods beyond what was previously possible. Now, we seek a talented research assistant to help create the world's first
-
successfully conducting research as well as postgraduate and undergraduate education within areas such as autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor
-
systems, complex networks, data-driven modeling, machine learning, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the
-
production. While discussions often focus on whether or not cows should have pasture access, little attention has been given to how these pasture periods should be managed to optimize welfare. This PhD project