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. Incorporating information about plasticity can aid genomic prediction modeling of tree growth and health under future climates. This project seeks to address generalizable principles underlying the genetic basis
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, power system analysis, as well as experience in modelling, simulation, or experimental work. Ability to work independently, in a structured and goal-oriented manner, both individually and in collaboration
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environmental modeling to understand how changing redox conditions (such as hypoxia and re-oxygenation) influence the behavior of actinides like plutonium (Pu) and americium (Am) in sediment and seawater. You
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fuel structure, processing of different remote sensing and mapped data, statistical modelling, mapping of fire risk and analyzing the effect of forest management for fire behavior. Considered remote
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well as system engineering approaches (modeling and simulation, geometallurgy). Experimental work (with processing of ore and mineral) is carried out in our well-equipped mineral processing laboratory with access
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in another way. Knowledge of mathematical modeling, building simulation, CFD or measurements is an advantage. You also have a genuine interest in energy issues in general and see this as an important
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consists of three pillars: material characterization (mineralogical and particle analyses), unit operations (such as comminution and separation processes) as well as system engineering approaches (modeling
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at cell membranes; Apply machine-learning models trained on simulation data to study how lipid composition and genetic variation influence the conformational and phase properties of membrane-associated
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atmospheres, their origin and how they are expected to evolve in a changing climate. Spectral 2D and 3D numerical solvers based on spherical harmonics will be used for the project to perform simulations aimed
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/southern Sweden and potentially other locations (> 8 hours drive from Umeå). Other meriting qualifications are: Strong quantitative skills, with experience in statistical modeling or spatial data analysis in