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
-
to be able to independently develop scientific concepts and methods, be competent in coding with Python and Matlab at least, and be fluent in both speaking and writing in English. The EU Mobility Rule
-
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