Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- SciLifeLab
- Linköping University
- University of Lund
- Lunds universitet
- Umeå University
- Nature Careers
- Swedish University of Agricultural Sciences
- Umeå universitet
- Uppsala universitet
- Blekinge Institute of Technology
- Faculty of culture and society
- IFM/Linköping University
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Linnéuniversitetet
- Sveriges Lantrbuksuniversitet
- Umeå universitet stipendiemodul
- Örebro University
- 8 more »
- « less
-
Field
-
and spatial omics analyses performing quality control, preprocessing, integration, annotation, visualization, and downstream statistical analyses contributing to data management, workflow development
-
equations Computational science or Scientific Computing Scientific Visualization Good written and spoken communication skills in English is mandatory. The applicant should be motivated, dedicated to research
-
data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision
-
-related research experience in multi-omics data integration and statistical modelling familiarity with machine learning methods for biological data experience in data visualization or development of user
-
equations Computational science or Scientific Computing Scientific Visualization Good written and spoken communication skills in English is mandatory. The applicant should be motivated, dedicated to research
-
, tissue sections, RNA/DNA, tabular data) for predictive modelling using software such as Python Documented experience of neural networks, image processing, deep learning algorithms, and data visualization
-
-target screening workflows is highly desirable. Data processing skills using statistical computing and visualization tools (e.g. R, or similar) are also considered a merit. Previous experience with
-
, with emphasis on R‑based data evaluation and visualization. The position also involves responsibility for the operation, maintenance, and development of LC-MS/MS and LC-HRMS instrumentation, including
-
sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users of the infrastructure. We envision that you will start
-
data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision