Sort by
Refine Your Search
-
Listed
-
Employer
- Chalmers University of Technology
- SciLifeLab
- Lunds universitet
- University of Lund
- Blekinge Institute of Technology
- Umeå University
- KTH
- Swedish University of Agricultural Sciences
- Uppsala universitet
- Göteborgs Universitet
- Högskolan Väst
- Institutionen för kemi och molekylärbiologi
- Jönköping University
- KTH Royal Institute of Technology
- Karlstad University
- Karlstads universitet
- Kungliga Tekniska högskolan
- Linköping University
- Mälardalen University
- SciCross
- SciLifeLab / Uppsala University
- Umeå universitet
- 12 more »
- « less
-
Field
-
qualifications (advantages) For the doctoral programme in question, the following are considered as other qualifications: Good programming skills in Python or C++ Experience in machine learning frameworks
-
sequencing data, preferably single-cell RNA-seq and/or other omics data documented skills in programming or scripting, for example in Python and/or R experience using relevant bioinformatics tools
-
written proficiency in English. Experience in data processing, statistical computing, and scripting (R, Python, matlab or similar). Demonstrated ability for proactive and independent work. In
-
requirements In order to complete the doctoral programme in question, the following are also required: Proficiency in programming, e.g. with Python. Good ability to work independently and to formulate and tackle
-
data at an internationally competitive level. Experience of biostatistics or machine learning approaches Proficiency in a scripting language like R or Python, as well as ability to work efficiently in a
-
experience (preferably in Python or MATLAB) We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension
-
(preferably in Python, Matlab, R, or similar) We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension
-
analysis or modelling tools—such as Aspen Plus, Matlab/Python, or similar—to help link experimental findings to process or techno‑economic evaluations. What you will do Take courses at an advanced level
-
will be assessed upon their ability to: independently pursue his or her work collaborate with others, have a professional approach and analyze and work with complex issues. A strong foundation in Python
-
of Python or a similar programming language. Experience in developing pipelines for data processing and management, such as Nextflow or similar systems. Knowledge of methods and applications in molecular