27 coding-"DIFFER"-"NTNU---Norwegian-University-of-Science-and-Technology" positions in Sweden
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a user fee-based support model. The projects will differ in complexity and length and will
-
creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different nationalities, backgrounds and fields. As a PhD student working with us, you
-
, improving scripts in Grasshopper, running energy simulations and supporting literature reviews, amongst others. You will be guided by an experienced postdoc in the group and collaborate with different PhD
-
control, management, and archival storage; analyzing large-scale datasets, developing code, and creating novel tools and methods for advanced data analysis; supporting ongoing research activities
-
advanced biostatistics/machine learning analyses, but also with other types of analysis. The work involves supporting Swedish researchers under a “user fee-based” support model. The projects will differ in
-
, manage infrastructure as code, and troubleshoot source code. If you have a solid foundation in Unix/Linux and are ready to dive into complex technical challenges, then you are the one we are looking
-
, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text
-
, manage infrastructure as code, and troubleshoot source code. If you have a solid foundation in Unix/Linux and are ready to dive into complex technical challenges, then you are the one we are looking
-
environments, safety monitoring for autonomous systems, and code review analysis driven by eye tracking. The division has strong collaborations both locally within Lund University, internationally with other
-
, demonstrated experience of coding in programming languages such as R and Python is considered particularly advantageous. Examples of computationally intensive methods central to IAS and IDA are data-driven text