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
- Uppsala universitet
- KTH Royal Institute of Technology
- Blekinge Institute of Technology
- Nature Careers
- Karolinska Institutet (KI)
- Lulea University of Technology
- Mälardalen University
- Umeå universitet
- Umeå universitet stipendiemodul
- Högskolan Väst
- Jönköping University
- KTH
- Luleå tekniska universitet
- Mid Sweden University
- Örebro University
- Göteborgs Universitet
- IFM/Linköping University
- Institutionen för akvatiska resurser
- Institutionen för kemi och molekylärbiologi
- Karlstad University
- Karolinska Institutet, doctoral positions
- Kungliga Tekniska högskolan
- Linköpings universitet
- Mittuniversitetet
- SciCross
- SciLifeLab / Uppsala University
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 25 more »
- « less
-
Field
-
experimental experience in immuno-oncology Practical experience of bioinformatics and programming (e.g. in Python and/or R) Practical experience of multiplex flow cytometry and cell sorting Practical experience
-
-level languages such as Python or C *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen your application: Experience
-
Biology; Computational Biology; Mathematics; or related fields. You are experienced and comfortable with running computational biology analysis on e.g. Python, MATLAB, and/or R. You are curious, motivated
-
control systems and process analysis software (e.g., LabVIEW, Matlab, Python) Selection: The basic factor for selection among qualified applicants is the ability to profit from such a program. For more
-
networks Scientific programming for simulation, data analysis, and reproducible workflows (e.g., Python/Julia/Matlab/C++) Machine-learning–inspired methods for reservoir/neuromorphic computing and
-
programming skills (C++, Python, or similar). Ability to work independently and manage complex technical tasks. Creative and solution-oriented mindset; ability to bring new ideas to scientific problems. Strong
-
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
-
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
-
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