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Project: Characterisation and AI-based mapping of acid sulfate soils in southern Sweden Acid sulfate soils, which both cause acidification and release metals, will be studied and mapped in southern…
Project: Fungal diversity in Scots pine – A key to assessing risk of Diplodia tip blight in Southern Sweden? The underlying goal of the project is to support the Swedish forest sector's capacity to…
Project: Acute oak decline in Sweden – Microbial contributors and factors across geography and seasons This project aims to characterize bacterial and fungal microbiomes, along with ectomycorrhizal…
Project: Decision support for individual-tree-selection - aiming at profitability and biodiversity (DITS) The project aims to develop decision support to determine the optimal harvesting time for…
Project: Freeze-up in the Greenland Sea – revealing sea-ice algae dynamics in new and multi-year ice in autumn In this project we study the microalgae that live in and under the Arctic sea ice. Which…
Project: Responsible Deployment of AI for Protein-Ligand Energies (RED-ALE) The project aims to develop guidelines for the reliable and transparent use of AI when predicting binding energies between…
Project: Mathematics in compulsory school for students with intellectual disabilities The purpose of the study is to gain further knowledge about successful teaching of mathematics where the student…
Project: Transport of iron, manganese, and phosphorus in northern Greenland’s glacial fjords during a melting season: phases, drivers, pathways, and ecological impacts This project, building on unique…
Project: Evidence in subject didactics and cognitive science in the preschool class and compulsory school Basic skills in reading writing and mathematics are essential for lifelong learning. It is…
Project: Early detection of smoldering fires through innovative methods The project is aimed to detect smouldering fires in biofuels.
Project: MULTIP – Multifunctional irrigation ponds MULTIP investigates whether irrigation ponds built to benefit agricultural productivity also promote biodiversity.
Seed project: Machine learning for predicting the mechanical properties of high performance oxynitride glasses This project aims to develop a machine learning (ML) model to predict the mechanical…
Project: The role of picophytoplankton in the Arctic carbon cycle In this project we study the role of the smallest phytoplankton (picophytoplankton) in the Arctic carbon cycle. How much carbon…
Seed project: Development of machine-learning interatomic potentials for two-dimensional antiferromagnetic MnX and Janux XMnY (X, Y=S, Se, Te) We plan to develop machine-learning (ML) models on large…
Project: Blue mussels in decline in the Baltic Sea -The effects on mussel-eating seabirds and possible solutions The blue mussel is an important species in the Baltic Sea, but some studies show a…
Project: Baltic & Black Sea avian disease network To tackle disease question in wild animal population a transdisciplinary and cross border perspective is needed. In this project we are building a…
Projekt: Marine snow - microorganisms and biological processes on sinking particles in the ocean In the ocean, particles composed of aggregated biological and inorganic material are continuously…
Project: The highest bubble streams on record raise questions on methane emissions from the deep Baltic Sea This project aims to understand processes that lead to a huge accumulation of methane gas at…