Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
experience in programming. We offer the opportunity to develop and expand in different areas of work when it is in line with the project goals. The candidate will study and integrate large data sets and
-
NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
-
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
-
molecules and solids. This work involves data-driven analysis of electronic structure calculations to reduce computational time. The modeling of large systems will also include development of specialised
-
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
-
, 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
-
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
-
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives
-
with an associated test facility for railway components. The Division is furthermore fully competent and equipped technologically to undertake research work in the emerging areas of big data, predictive