16 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "UNIV" research jobs at University of Lund
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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
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, 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
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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
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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
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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
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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
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programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS) Demonstrated skills in handling and analysis of large datasets Consideration will also be given to good collaborative skills, drive
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, 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
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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
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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