Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
on collating and analyzing the large volumes of carbon cycle data gathered from the site to date, then preparing the resulting analyses for publication in scientific journals. Likely topics for papers include
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
-
, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several
-
://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
-
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
-
supply chains. The subject includes procurement, transport, and storage of raw materials from the forest to the industry, as well as the processes and information flows used to manage raw material supply
-
advanced models for genomic selection to improve breeding programs in plant and animal breeding. You will analyze genetic data: Use bioinformatic and genomic methods to process and interpret large-scale
-
includes data analysis, filtering of large amounts of data, etc. It is also important to have a solid understanding of mining and mining systems in order to understand the end-user requirements and needs
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
-
propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large