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in silico identification of optimal catalyst–substrate–conditions combinations and the design of new, more selective catalysts. This will substantially reduce the time required to develop catalysts
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an optimal, least costly way. The candidate as the key member of the DIFFQRN project will conduct scientific research, contribute to writing publications, and present obtained results at conferences and
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. Strong practical skills in high-performance computing (HPC) environments, including job scheduling and performance optimization on computing clusters. Knowledge of Bayesian statistics and its applications
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. Developing a software tool for defining and optimizing the geometry of the X-ray spectrometer. Supporting work related to developing the concept of the planned instrument and modeling its spectral response
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132 (2), e154218 (2022)]. The research and development tasks include the design and optimization of femtosecond fiber lasers tailored to the absorption spectra of key chromophores, the development
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tasks include the design and optimization of femtosecond fiber lasers tailored to the absorption spectra of key chromophores, the development of novel methods for photon counting, correlation, and
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132 (2), e154218 (2022)]. The research and development tasks include the design and optimization of femtosecond fiber lasers tailored to the absorption spectra of key chromophores, the development
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quantum effects can be harnessed to process information with improved energetic efficiency (see, e.g., arXiv:2408:06418 ). Optimization of thermodynamic protocols: Design thermal machines that exploit
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English. The employed person will also participate in scientific research in the field of chemical engineering, with particular emphasis on intensification and optimization of unit operations, extraction