Sort by
Refine Your Search
-
Category
-
Employer
- Umeå University
- Swedish University of Agricultural Sciences
- Lulea University of Technology
- Luleå University of Technology
- Uppsala universitet
- Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg
- Linköping University
- The Swedish University of Agricultural Sciences
- Blekinge Institute of Technology
- Chalmers University of Technology
- Göteborgs universitet
- Institutionen för Biologi och miljövetenskap
- KTH Royal Institute of Technology
- Linnaeus University
- Mälardalen University
- SciLifeLab
- The Swedish University of Agricultural Sciences (SLU)
- University of Lund
- 8 more »
- « less
-
Field
-
in accordance with the Swedish Higher Education Ordinance: most of your time is devoted to research, and you also take doctoral courses. Both are planned and documented in your individual study plan
-
will be part of the faculty-wide doctoral education programme. The doctoral programme comprises 25 credits and is offered in two study variants: 25 credits spread over 8 terms (a total of 4 years
-
(R2) Application Deadline 16 Aug 2026 - 21:59 (UTC) Country Sweden Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
in one or more of the following areas are considered an advantage: Biogas processes, Modelling and/or programming, statistics, Swedish language skills About us: The positions are based
-
an international and collaborative research environment. The PhD candidate will join the ‘Measuring What Matters’ consortium – a new 30M SEK Formas-funded research programme that aims to develop and operationalise a
-
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
-
devote his-/or herself to his/her own education. More information about the doctoral education program at the Faculty of Medicine can be found at www.umu.se/en/faculty-of-medicine/education/doctoral
-
otherwise within or acquired equivalent knowledge abroad and which can be proven. The requirements must be fulfilled at the time of admission to the doctoral programme, but do not need to be met at the time
-
of experimental spectroscopy or diffraction techniques such as XAS, XRD, FTIR, and XPS, of molecular modeling (MD/MC, DFT), and familiarity with basic programming (Python, MATLAB) and the use of Linux/HPC systems
-
or more of the following areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level