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closely related field, awarded no more than three years prior to the application deadline* Proven ability to apply AI/ML methods to the management and operation of communication infrastructures, including
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ability to apply AI/ML methods to the management and operation of communication infrastructures, including configuration and performance assessment Experience in designing, implementing, and executing
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, and energy-intensive production processes make them less sustainable for stationary use. In this role, you will contribute to the synthesis of high-performance cathode materials, binders for zinc-ion
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In most countries, nuclear power is considered an essential part of the future energy mix for replacing fossil fuels. One of the key challenges is managing the radioactive waste associated with
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varied, ranging from theory and computer simulations to experimental investigations. The theoretical subatomic physics group performs research on nuclear, elementary particle, and astroparticle physics by
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amplifier performance. By combining advanced device measurements, empirical modeling, and power amplifier design, this project will generate new insights into the material, process, and design factors
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battery performance. The project combines expertise in materials science, electrochemistry, and physics, and offers a collaborative environment with access to well-equipped labs and technical support. About
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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us The Division of Subatomic, High-Energy and Plasma Physics performs research on theoretical and experimental subatomic physics, mathematical and high-energy physics, plasma and fusion physics, as
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, or equivalent solvers to simulate skull fracture mechanics during impact scenarios Perform parametric studies for population-level analysis Develop protocols for various fall scenarios and demographic parameters