Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Umeå University
- Linköping University
- Lulea University of Technology
- Swedish University of Agricultural Sciences
- Jönköping University
- Linnaeus University
- Mälardalen University
- Nature Careers
- University of Lund
- Blekinge Institute of Technology
- Mid Sweden University
- 3 more »
- « less
-
Field
-
artificial intelligence), exploring future skills, and optimizing equipment management. You will work in close collaboration with major industry partners to collect and analyze real-world empirical data using
-
the Royal Institute of Technology, Stockholm. Dahlin’s team works at the intersection between experimental and computational medicine to map blood cell development at the single-cell level. This is performed
-
, especially Bioinformatics, program the applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b
-
Advance Earth Observation with 6G Satellites! Join our cutting-edge research at the intersection of satellite communication, signal processing, and Earth observation. As a PhD student, you'll help develop innovative remote sensing capabilities to monitor oceans, ice, vegetation, and natural...
-
technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
-
KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Project description Third-cycle subject: Computer Science This project involves generative modeling
-
. Commitment and motivation to complete a four-year PhD program. About the employment The position is intended to result in a doctoral degree. The main task of the PhD student is to pursue their doctoral studies
-
tasks As a PhD student, you will be part of a research team that combines experimental and computational methods to understand membrane protein transport and signalling processes. The focus is to develop
-
: detailed theoretical studies and optimization of light guidance in HCFs, characterization of fabricated HCFs (on both structural and optical transmission properties), experimental investigations of material
-
life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health