Sort by
Refine Your Search
-
Category
-
Employer
- Umeå University
- SciLifeLab
- Linköping University
- Swedish University of Agricultural Sciences
- Uppsala universitet
- University of Lund
- Lulea University of Technology
- Lunds universitet
- Luleå University of Technology
- Blekinge Institute of Technology
- Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg
- Jönköping University
- Luleå tekniska universitet
- The Swedish University of Agricultural Sciences
- Chalmers University of Technology
- Göteborgs universitet
- Institutionen för Biologi och miljövetenskap
- Institutionen för mark och miljö
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linnaeus University
- Mälardalen University
- Stockholm University
- Stockholms universitet
- Sveriges Lantbruksuniversitet
- Sveriges lantbruksuniversitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå universitet
- 18 more »
- « less
-
Field
-
methods to study interactions between humans and the built environment. The lab provides a cutting-edge experimental platform that integrates immersive virtual environments with a state-of-the-art climate
-
. energy, water and sanitation, mobility or food) in European and Indian cities analyse the material using qualitative process methods (path tracing) and semi-quantitative network methods (socio-technical
-
) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
-
bioinformatics. UPSC provides access to state-of-the-art infrastructure for plant transformation, sequencing, computational analysis and advanced microscopy within a highly collaborative and interdisciplinary
-
, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a specific subject see General syllabus
-
of the research environment for this collaborative project and will be part of the Graduate School in Health Informatics and e-Health . The doctoral student will be expected to: follow their individual study plan
-
About the opportunity: Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and
-
of methods, the project examines how team resources, audit processes, and organizational contexts shape the quality and credibility of sustainability assurance. The aim of the project is to develop
-
molecular biological methods and bioinformatics to analyse microbial communities in both laboratory-scale and full-scale biogas processes. The aim is to identify microorganisms and microbial markers
-
methods and relevant software. Conducting literature reviews and completing doctoral-level coursework. Presenting research findings at seminars and scientific conferences. Writing scientific publications