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- 2024
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Mark
Predicting dust storm susceptibility: exploring control strategies with XGBoost models
(
- Master (Two yrs)
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Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
(
- Master (Two yrs)
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Mark
Effective soil organic carbon monitoring in perennial agriculture systems - Sampling protocol development and evaluation
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- Master (Two yrs)
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Mark
Modelling the impact of climate change on future carbon dynamics of northern peatlands
(
- Master (Two yrs)
- 2023
-
Mark
Estimation of surface soil moisture from Sentinel-1 Synthetic Aperture Radar imagery using machine learning method
(
- Master (Two yrs)
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Mark
The impact of CO2 fertilisation on foliage in West and East Africa
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- Master (Two yrs)
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Mark
Effects of soil temperature on Sphagnum moss litter quality and decomposition in a subarctic environment
(
- Master (Two yrs)
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Mark
Forest growth under future climate change in the context of bioenergy – case studies of combined heat and power plants in Sweden
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- Master (Two yrs)
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Mark
Evaluating modelled natural capital values for planning processes: A case study in Stockholm, Sweden
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- Master (Two yrs)
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Mark
A spatio-temporal graph neural network framework for predicting usage efficiency of e-scooter sharing services
(
- Master (Two yrs)