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
-
science, radiative transfer and remote sensing. Proficiency in Python and deep learning frameworks (e.g., PyTorch). What you will do Take courses at an advanced level within our Graduate school. Develop
-
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
-
Knowledge of sodium- or lithium-ion batteries Experience with electrochemical methods Prior experience with data analysis and programming (e.g. Python or Matlab) Experience working in industrial
-
or Python) and an in-depth understanding of computer systems (assembly code, compilers). Important personal qualities are the ability to work in a team, communicate with colleagues, be disciplined, curious
-
environment. The duties require: Good programming skills, for example in Python and R, and experience working with databases and data management. Experience working with APIs and automated workflows for data
-
: Development and design of numerical simulation software Knowledge of programming languages, e.g., Fortran, C/C++, Julia, or Python Numerical methods for partial differential equations (PDEs) It is desirable
-
statistical machine learning models and methods, Bayesian learning, or an area related to those mentioned in Work Assignments is also strongly advantageous. Solid programming skills in Python. Experience with
-
integrity, motivation and flexibility at work. Meritorious for the position is: Good programming skills (eg R and/or Python). Miscellaneous The employment is fixed-term for one year and is 100% full-time
-
, you should: Have a PhD in some area of nucleic acid research preferably with bioinformatic or computational focus. Have expert knowledge in working with and developing bioinformatics tools in Python
-
field. Documented experience in image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C