19 parallel-processing-bioinformatics positions at Czech Technical University in Prague
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can be surpassed by integrating multiple photon-to-current conversion processes. In this context, diamond-based materials emerge as strong candidates for next-generation PV devices. Our objective is to
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scanning and Time-of-Flight (ToF) sensors, to enable robust material identification directly in non-laboratory, real-world environments. The acquired data will be processed using advanced machine learning
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machine learning pipelines may embed differentiable physical models, and ii) the learning process may be informed by constraining the predicted variable to obey physical laws; we can see it as physics
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data, numerical simulations, and data-driven approaches to uncover structure–property–process relationships and enable predictive modeling. Particular emphasis will be placed on state-of-the-art
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using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Quantum networks Description: Quantum networks are extensively used in quantum data processing and computation. While methods
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simulations will capture key impact processes (shock-induced melting, defect formation), illuminating how dust kinetic energy translates into material damage. Complementary high-speed dust impact experiments
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based on nanocrystalline material. Starting from material treat gment and testing, analytical solution based on vector potential, through the numerical FEM model, physical model and prototype
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reasonable carry-over of unused funds. What makes ČVUT StG distinct is its two-phase design: proposals are first ranked through a comprehensive evaluation process, and selected projects then enter post
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://fjfi.cvut.cz/en/applicants/doctoral-studies/admission-procedure-phd ). Note that the deadline to apply to the PhD program is May 21st. Secondment: NUVIA a.s. (Czech Republic) European Organization for Nuclear