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We are offering a PhD student position in machine learning (ML) theory, focusing on new methods for training models with a limited amount of data. The student will be a part of a new NEST initiative
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focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics. Theoretical spectroscopy By combining quantum mechanical
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(CFD), including chemical reaction models, but could also involve other modeling methods such as Density Functional Theory (DFT) or kinetic Monte Carlo. Your qualifications You have graduated at Master’s
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and only areas close to the dams were regarded important to investigate dam safety. The objective of the research is to evaluate variations of tailing composition in terms of segregation and densities
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work together, cooperative autonomous systems emerge. These systems hold transformative potential in applications like robotics, environmental monitoring, smart transportation, warehouse automation, and
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of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Robotics and AI - Luleå University of Technology (ltu.se) Wallenberg AI, Autonomous Systems and Software Program
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This PhD position offers a unique opportunity to advance safe and transparent control for autonomous, over-actuated electric vehicles. You will work at the intersection of model predictive control
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to fields such as critical theory, digital sociology, criminology, or science and technology studies (STS). As part of the application, the doctoral student will draft a brief plan for an independent project
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Bachelor, Master and Doctoral levels, as well as a thriving research environment and many opportunities for personal development. Our mission is to advance the theory and practice of business, with specific
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third-cycle courses. The last day to apply is May 30, 2025. Project description and tasks: The PhD student will carry out research in the analysis of Partial Differential Equations as part of a project