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management Nordic forestry Remote sensing data: ALS, TLS, satellite (e.g. sentinel2), aerial images Statistical modelling and analysis GIS e.g. ArcGis, Qgis, R Programming, e.g. R, Python, C etc. Field work
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the training. The following criteria will be used to assess this capacity: Independence in the analysis and organization of the earlier scientific work Problem formulation and rigor in previous scientific work
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, hydrology, environmental analysis, and physical geography. More information on the programme’s science can be found at Luval. Duties The project focuses on the investigation of zonal jets in planetary
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of immunity as well as develop innovative cellular immunotherapies against cancer. Being part of the Center for Hematology and Regenerative Medicine (HERM) and Center for Cellular Cancer Therapy (C33T) , we
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, mental illness, and care is (re)shaped within a digital context. The work duties include: Plan and carry out data collection using qualitative methods Plan and conduct ethnographic analysis of digital
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, or erroneous data, Data cleaning and generation, Development of enhanced loss functions and information-theoretic methods for optimized data analysis, Machine learning-based image segmentation of tomographic
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areas, of which at least 30 credits must be at an advanced level. Courses in statistical analysis, quantitative methods, or mathematical models acquired outside these subject areas may also be included
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areas, of which at least 30 credits must be at an advanced level. Courses in statistical analysis, quantitative methods, or mathematical models acquired outside these subject areas may also be included
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, Scientific image or microscopy data analysis. You should possess excellent analytical skills, a genuine interest in interdisciplinary research, and the ability to work both independently and as part of a team
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simulations of hydrogen bunkering and transfer systems on board ships. Analysis of temperature development, mass and energy balances, and flow/pressure variations during fueling and operation. Material testing