Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
part of our dynamic team, you will work closely with researchers to process large-scale biological data and contribute to advancing our data analysis infrastructure. Strong problem-solving skills
-
and elsewhere. The work tasks will include among other things: Helping researchers and engineers manage large-scale data. Working with sensitive human data in secure compute environments. Developing and
-
, as well as databases and data structures for large data volumes is also a merit. “Reproducible research” and “FAIR data” are central concepts to us, and expertise in the development of reproducible
-
://nbis.se) is a large national infrastructure in rapid development providing support, tools and training to the Swedish life science research community. NBIS constitutes the bioinformatics platform
-
life sciences. The system development team consists of two Scrum teams that develop and implement tools for handling big data and web applications for research groups and EU-funded projects. You will be
-
of large-scale multi-omics cancer data. Proven experience in development of bioinformatics tools and software packages. In-depth knowledge in NGS data processing from whole genome sequencing and RNA-seq
-
, the extensive image information requires great accuracy and is therefore time-consuming. Today, detailed image information is collected from MRI and CT systems on a large scale in various cohort studies, often
-
values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
-
Spatial metaTranscriptomics methods and thus also handling of image data. The PhD student will interact with other team members to a large extent. For this purpose, we are looking for a PhD student with
-
analysis in complex datasets Experience with analysis and visualization of large data. Experience with omics data analysis (e.g. transcriptomics, metabolomics) Great emphasis will be placed on personal