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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
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and life sciences. The EuXFEL High Duty-Cycle (HDC) upgrade will enable operation with long RF pulses (duty cycle above 10%) up to continuous wave (100% duty cycle), effectively increasing the number
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for one year, with the possibility of renewal subject to satisfactory performance. Applicants should possess a Ph.D. in finance or a related business discipline, and demonstrate strong potential for high
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contacts working at the front line of quantum computing, and a cross-disciplinary profile that remains rare and in high demand. You will be supervised by Dr Gabriele Liga (https://www.tue.nl/en/research
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; validate the developed methods on retrospective multi-center clinical datasets, in collaboration with clinical partners in the Netherlands and abroad; critically assess model performance and interpret
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enhanced performance. These advancements will facilitate the creation of smaller, faster, and more adaptable systems for next-generation computing applications. Working with consortium partners
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into the electromagnetic model for robust performance analysis? Information Antenna and RF systems play a pivotal role in society by providing a crucial enabling medical diagnostics, transportation, and communication in
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holography, structured-light and fringe projection, deflectometry, pattern tracking, high-speed imaging and thermography. Complementary photonic sensing approaches, such as fibre Bragg grating sensors, may
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=28417 PhD student (m/f/d) with a focus on epidemiology and tools for screening of Tuberculosis
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and optimization problems at unprecedented speed and scale. While high-performance computing (HPC) has become the backbone of large-scale power system simulation, emerging quantum computing technologies