16 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "P" research jobs at University of Lund
Sort by
Refine Your Search
-
are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace This project is a collaboration between Prof Karen Edler (Lund University), Dr Tom
-
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
-
on strategic planning can be used in research-led education within spatial planning. This work will lay the foundations for development of courses and program and will take place in close collaboration with
-
the Global South - Lund University . The project aims to critically examine the rise of digital agriculture through carbon farming programs in the Global South, with a particular focus on African and Asian
-
administrative staff, and doctoral students. The department has a large doctoral training programme and coordinates three international master’s programmes. It has a well-established reputation for its broad
-
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
-
, the doctoral degree can have been completed earlier. Applicants must have: PhD degree in meteorology or equivalent; BSc in physics or equivalent; Oral and written proficiency in English; Programming language
-
, 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
-
pipelines (including programming experience) for the assembly of single cell transcript atlases genomic assembly approaches molecular techniques including in situ hybridization Knowledge of the fields
-
the appointment decision is made. The ability to plan and carry out research of high quality, teaching skills. Profound knowledge of numerical methods for partial differential equations. Knowledge of uncertainty