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Field
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)physics, chemistry, or a related field. A solid knowledge of the theory of molecular systems and statistical mechanics, as well as skills in molecular dynamics simulations, is highly desirable. Proficiency
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the physical layer but can also cover aspects of the media access control and network layers. The research is expected to use methodology from signal processing, communication theory, mathematics, wave
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simulations of light-harvesting complexes and membrane proteins. Successful candidates should have a master's degree in theoretical (bio)physics, chemistry, or a related field. A solid knowledge of the theory
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but can also cover aspects of the media access control and network layers. The research is expected to use methodology from signal processing, communication theory, mathematics, wave propagation
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machine control theory Programming in MATLAB, Python, C++ Working knowledge of optimization theory Knowledge of vector calculus and linear algebra The candidate should submit a research proposal for the
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, CU/DU/RU split). - AI/ML algorithms and methods for joint compute and radio resource management at the 6G edge leveraging accelerators - Control- and data-plane separation, real-time scheduling, and
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Electrical Engineering (or equivalent), have a solid mathematical background (e.g. in control theory and optimization) and have taken specialized courses in at least one of the following disciplines: advanced
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supervisors and industry partners, you will bridge theory and practice to create research with real-world impact. Your primary tasks will be to: Conduct research on data-driven and modular approaches
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? This PhD project approaches public-space management through the lenses of transaction cost theory, rational-choice institutionalism, and organisational economics. You will explore questions such as: Why is
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connects the fields of plant, animal, and landscape ecology. It advances successional theory by providing a pantropical synthesis of the importance of landscape context for seed dispersal and community