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application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new distributed MIMO systems. Your work
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, demand and supply values at these nodes are subject to uncertainty, which complicates logistics planning and decision-making. To tackle this challenge, we aim to develop efficient data-driven methods
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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Reviews Methods Primers. Her research has been recognized with numerous honors, including the NSF Graduate Research Fellowship, Brody Family Postdoctoral Fellowship, and WMIC WIMIN Scholar Awards. She has
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-chemical properties similar to conventional kerosene, their combustion behavior can differ significantly, requiring adjustments and optimization of current gas turbines (GT). In this context, numerical
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EuroHPC (Arrhenius) and an AI Factory (Mimer). Cybersecurity research at LiU focuses on securing the most critical functions of digital society. Through numerous national and European projects, methods
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instruments, data analysis as well as theoretical and numerical modelling provide excellent research opportunities for PhD students. Solar system science research subjects include cosmochemistry, small bodies
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medicine and numerous accredited Bachelor's and Master's degree programs. MSB is part of the IRO Group, which also includes MSH Medical School Hamburg, HMU Health and Medical University Erfurt, HMU Health
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) analysis on gold surfaces. The student will develop a data analysis method (e.g. statistical methods) to identify the main parameters driving metabolite-surface interactions in the presence of different
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to develop strong skills in viscous fluid mechanics, numerical methods and applied mathematics. Start date: October 2026. Duration: 4 years. Education: A strong 4-year degree or MSc degree in Mechanical