Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Chalmers University of Technology
- SciLifeLab
- University of Lund
- Lunds universitet
- Linköping University
- Umeå University
- Swedish University of Agricultural Sciences
- KTH Royal Institute of Technology
- Uppsala universitet
- Blekinge Institute of Technology
- Karolinska Institutet (KI)
- Nature Careers
- Umeå universitet
- Lulea University of Technology
- Mälardalen University
- Umeå universitet stipendiemodul
- Högskolan Väst
- Jönköping University
- KTH
- Karolinska Institutet, doctoral positions
- Luleå tekniska universitet
- Mid Sweden University
- University of Gothenburg
- Örebro University
- Faculty of Culture and Society
- Göteborgs Universitet
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Institutionen för kemi och molekylärbiologi
- Kungliga Tekniska högskolan
- Linköpings universitet
- Lule university of technology
- Luleå university of technology
- Mittuniversitetet
- SciCross
- SciLifeLab / Uppsala University
- Sveriges Lantbruksuniversitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 29 more »
- « less
-
Field
-
high-dimensional biological data and programming languages (Python) is considered a merit Ability to work independently, plan experiments, and troubleshoot complex experimental workflows Strong
-
knowledge of lncRNA biology. Ability to visualize complex data using R/Python or similar programs and tools. Terms and conditions The doctoral student will be employed on a doctoral studentship maximum 4
-
optimization. Documented proficiency in mathematical reasoning and programming (e.g. Python) relevant for computational mathematics and machine learning is required. Experience in one or more of the following
-
equivalent. Specific knowledge of hydrology, urban water engineering, basic computer programming (e.g. Matlab or Python) and experience carrying out measurements of stream flow (or similar) are meritorious
-
field measurements (e.g. related to soil–water processes or geophysical approaches), and basic computer programming skills (e.g. MATLAB or Python) are meritorious. Other important skills include
-
a merit Experience with flow cytometry and/or FACS-based cell sorting is considered a merit Experience analyzing high-dimensional biological data and programming languages (Python) is considered a
-
-on experience with R and/or Python, shell scripting, and Linux-based computational environments Experience with proteomics and/or metabolomics LC-MS data analysis is a strong advantage International research
-
analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity research Great emphasis
-
management Nordic forestry Remote sensing data: ALS, TLS, satellite (e.g. sentinel2), aerial images Statistical modelling and analysis GIS e.g. ArcGis, Qgis, R Programming, e.g. R, Python, C etc. Field work
-
methods, or forest ecology - Advanced Skills in R/Python, GIS, bioinformatics, and molecular lab work - Ability to work independently and in multidisciplinary teams - Strong English communication skills