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Reality to elicit users’ preferences for innovative transport systems. Applicants with a background in behavioral analysis and mathematical modelling are encouraged to apply. Terms of employment include
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/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and
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processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large
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, particularly in techniques such as Schlenk line, glove box, powder X-ray diffraction, electron diffraction, electron microscopy, and porosity analysis. The candidate is expected to have a thorough understanding
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, including advanced imaging and related analysis Experience in the performance of high pressure and temperature triaxial tests Experience in experimental rock mechanics Postdoctoral Associate Employment
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inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
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responsible for the project Design, synthesis, and characterization of complex organic molecules which play a pivotal role in DNP, Employ advanced NMR/MRI methods for structural analysis and DNP-related studies
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characterizing the interaction between sensing and communication. The PDA is also expected to contribute to optical channel modeling, particularly for comparative analysis with THz bands, where RF signals exhibit
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, and wireless communications Proven track record of publications in relevant IEEE journals and conferences Extensive experience in physical layer algorithm design and performance analysis In
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in physical layer algorithm design and performance analysis Proven track record of publications in relevant IEEE journals and conferences In addition to the above qualifications, it is highly desirable