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
- Sveriges Lantbruksuniversitet
- The Swedish University of Agricultural Sciences (SLU)
- Umeå Plant Science Center
- 26 more »
- « less
-
Field
-
R and/or Python, with experience in data integration and statistical analysis. Exposure to RNA therapeutics or functional genomics approaches is an advantage. Strong interest in interdisciplinary
-
education good knowledge of English, both written and spoken Requirements for the position are: experience of programming for data analysis, for example in Python, MATLAB, R, or similar collaborative and able
-
, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
-
, biomedicine, biotechnology, or another relevant field. Documented experience in programming or quantitative data analysis, for example in Python, MATLAB, or similar environments. A strong interest in method
-
of experience in training, evaluating, and deploying machine learning models, including deep neural networks and relevant frameworks - Documented several years of experience in systems development with Python and
-
skills, particularly in Python and/or R · Experience in machine learning and AI · Fluency in spoken and written English · Ability to work independently as well as in interdisciplinary teams Meritorious
-
, neuroscience, electrical engineering, or a related field, hands-on experience with neural recording and/or stimulation techniques, signal processing, and data analysis (e.g., MATLAB or Python), experience
-
, Applied Physics, Nanotechnology, or equivalent. Strong programming skills in high-level languages, specifically Python. Good verbal and written communication skills in English. A collaborative attitude and
-
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
-
, contributing to the development and maintenance of FlaGs and its web server for comparative genome analysis, developing Python-based tools and code for retrieval and processing of publicly available genomic data