Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- Umeå University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- SciLifeLab
- Linköping University
- Jönköping University
- Nature Careers
- Linnaeus University
- Mälardalen University
- University of Lund
- Sveriges lantbruksuniversitet
- Uppsala universitet
- 3 more »
- « less
-
Field
-
%) Complete coursework relevant to the PhD program Your profile Required qualifications MSc degree in Environmental Engineering, Chemical Engineering, Civil Engineering, Biotechnology, or a related field
-
modular, scalable, and transparent control algorithms suitable for real-time implementation across different vehicle platforms. - Contribute to theoretical developments in stochastic model predictive
-
on the bioinformatics program. Qualification requirements Appointment to this career development position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD
-
years. However, depending on the Department’s needs, the position may include teaching in the Master’s Program Design and Construction Project Management (MPDCPM) or performing other institutional duties
-
ECTS relevant to the doctoral thesis project. Out of this, at least 30 ECTS have to be in a subject closely related to the research topic of the graduate program. Applicants who have acquired equivalent
-
to the doctoral thesis project. Out of this, at least 30 ECTS have to be in a subject closely related to the research topic of the graduate program. Applicants who have acquired equivalent skills in some other
-
for the PhD program at Chalmers. Participating in departmental duties, primarily teaching and supervising undergraduate students. Your profile We are seeking candidates with the following qualifications
-
vulnerabilities and proposing effective defenses, the project seeks to make the next generation of the Internet more secure, resilient, and trustworthy. About us The Department of Computer Science and Engineering
-
closely with a co-supervisor at the Division of Material and Computational Mechanics. The NEST-WISE project offers a vibrant collaborative environment and close interaction with academic and industrial
-
failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel