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The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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population prediction models and their impact on the epidemic differ significantly from indicators (R₀ estimation) based on simple ODE models calibrated on general population sampling data (approximately 1,000
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. They refer to different levels of human anatomy (e.g. cells, tissues, organs or organ systems). VHTs are built using software models and data and are designed to mimic and predict behavior of their physical
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better predictions of fire extents and its impacts on vegetation at regional scales. This is a contribution to INFLAMES (https://inflames-project.github.io/ ), a national research project on fires, with
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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applying AI/ML models to predict cis-regulatory elements in plant genomes and uncover mechanistic insights into protein-DNA interactions. (2) Developing and applying computational methods to infer gene
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. • Proven skills in statistical methods, predictive analytic models, and/or related analytic techniques. Conditions of Employment This position follows a hybrid work structure where employees can work
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work closely with an interdisciplinary team spanning microbiology, engineering, and computation, and will contribute to developing predictive models that link bacterial physiology to infection outcome
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and satellite network performance from user devices, particularly Direct-to-Device. Assist in the development of models to predict or explain network behaviour under different conditions. Contribute