10 computer-programmer "https:" "SAPIENZA UNIVERSITA' DI ROMA" Postdoctoral research jobs at University of Lund
Sort by
Refine Your Search
-
research area MERGE (https://www.merge.lu.se ), focused on climate modelling. Aerosol research has been conducted at Lund since the 1970s and is now a designated profile area at LTH (https://www.lth.se
-
cluster is part of The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS), which is a national research program in Sweden. The vision of WASP-HS is to foster novel
-
, and is financed by SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and
-
, generous annual leave and an advantageous occupational pension scheme. Read more on the University website about being a Lund University employee Work at Lund University. https://www.lunduniversity.lu.se
-
for computational analyses. Use of software and applications for modelling in development cohorts and testing in validation cohorts. Development of predictive software and, in collaboration, management of the group’s
-
maintaining regular updates on project progress via the website and social media channels. There may be opportunities to contribute to teaching and supervision within the LUMES and LUCAS MSc programmes
-
molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
-
of degree certificates Your doctoral thesis and 1–3 scientific publications (including a specification of your contribution as an author in co-authored works) A research plan presenting the proposed research
-
several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM
-
strategies. The research group focuses on exploration of tumor immune microenvironments through spatial omics and imaging, development of computational models for prediction of molecular and clinical features