Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Umeå University
- KTH Royal Institute of Technology
- Linnaeus University
- SciLifeLab
- Nature Careers
- University of Lund
- Blekinge Institute of Technology
- Mälardalen University
- Sveriges lantbruksuniversitet
- Umeå universitet
- 3 more »
- « less
-
Field
-
the foundations of computer science. Subject Description The research subject focuses on an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling
-
you must: Be enrolled in years 4 or 5 of the Architecture Programme, or in the Master's Programme in Architecture and Urban Design at the Umeå School of Architecture Have good knowledge in
-
opportunity to combine advanced remote sensing and 3D data with ecological theory to deepen the understanding of the role of tree architecture in forest ecosystem vitality. About the position Global warming has
-
Programme? Not funded by a EU programme Reference Number 1114--1-13544 Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of Forest Resource Management We
-
required. See www.umarts.se for the program of activities. Qualifications To be eligible to apply for the positions you should: Be a student in year 2-4 at: Umeå School of Architecture, Umeå Academy of Fine
-
pioneering research on rethinking space and municipal planning processes conducted in co-creation and a transdisciplinary setting spanning architecture, urban development, human geography, ecology, and economy
-
computer science or an equivalent education, such as a Master of Science in Engineering. A minimum of 10 years of documented experience working in IT as a developer, systems specialist, architect, or similar role
-
master degree degree is required in relevant areas such as remote sensing, computer sciences, and mathematics. You are also required to have strong background in deep learning for image analysis, e.g
-
education at both Master's and doctoral level. We contribute to the Mobility Engineering (Naval Architecture – Marine Technology profile) master’s program and are part of the Nordic Master in Maritime
-
to the Master's Programme at the Umeå School of Architecture, including guidance and responding to questions related to the programme and the application process. Other tasks and duties may be assigned