Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Lunds universitet
- Blekinge Institute of Technology
- Karolinska Institutet, doctoral positions
- Linkoping University
- Luleå University of Technology
- SciLifeLab
- Sveriges Lantbruksuniversitet
- Swedish University of Agricultural Sciences
- The Faculty of Technology and Society
- Umeå University
- Umeå universitet
- University of Gothenburg
- Uppsala universitet
- 3 more »
- « less
-
Field
-
for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the
-
particular focus on hypertension and other cardiovascular diseases. The work involves advanced processing and analysis of 4D Flow MRI data, as well as the integration of image-based measurements with
-
remote sensing of vegetation, e.g. spectral mixture analysis. Other merits We are particularly interested in candidates with: Experience with web-GIS development or geospatial data visualization
-
for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and mining systems to also
-
, water treatment technologies, or environmental remediation techniques, physicochemical materials characterization data analysis and visualization skills Rules governing PhD students are set out in
-
and development of bioinformatics methods for the analysis of genomic cancer data, including large public international datasets and locally generated patient-derived sequencing data. The project may
-
international, interdisciplinary team. The project provides access to advanced instrumentation and training in data analysis, scientific communication, and collaborative research. About the position We
-
relation to human exposure You will work in an international, interdisciplinary team. The project provides access to advanced instrumentation and training in data analysis, scientific communication, and
-
mental workload assessment. Support data preprocessing, feature engineering, speech and signal processing, and exploratory analysis of multimodal sensor data. Assist in the development of dashboards and
-
computing using clusters like UPPMAX and GPUs for high-performance computing are essential. While not required, experience in genetic and omics data analysis and visualization, and familiarity with network