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and scope of MS research. This PhD project employs advanced network analysis and Large Language Models to develop predictive models for MS progression. It involves constructing and analyzing a complex
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, better adapted individuals can be selected at the seedling stage using only genetic data, accelerating the breeding cycle. Incorporating information about plasticity can aid genomic prediction modeling
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who are not Swedish citizens need to submit an attested copy of their passport’s information page containing their photograph and personal details. Read about the PhD education at SLU at https
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. The research in the PhD project will focus on core spatio-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation
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enablers for predicting and reasoning about dynamics and transport patterns, in turn being of key importance for a broad range of human activities. The research in the PhD project will focus on core spatio
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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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application! We are looking for a PhD student in automatic control. Your work assignments You will work on a project on data driven control. In recent years, data-driven control in high dimensions has
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of Electrical Engineering. Project description: Autonomous vehicles for mining and mobile robotics for industrial processes require complex motion planning as well as safe model-based predictive control and
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details. Read about the PhD education at SLU at https://www.slu.se/en/study/programmes-courses/doctoral-education/ Academic union representatives: https://internt.slu.se/en/my-employment/employee
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safety. The goal of this PhD project is to increase knowledge of thermodynamic and material processes in marine hydrogen propulsion systems and to develop predictive models that ensure safe and efficient