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15 Apr 2026 Job Information Organisation/Company Czech Technical University in Prague Department Department of Electromagnetic Field Research Field Technology » Computer technology Researcher
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. Department of Cybernetics https://cmp.felk.cvut.cz/~svoboda/ Short description Robust machine control assumes modeling of robot-environment interactions. An example may include an outdoor autonomous ground
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this goal, doped-diamond systems will be considered. The thermal stability of selected compounds under operating conditions will be assessed by means of molecular dynamics simulations with Machine Learning
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documents uploaded using the dedicated electronic form. helpdesk: petra.koudelova@fsv.cvut.cz Machine learning for 3D printed multifunctional metamaterials Description: The PhD topic focuses on the use
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expertise. 2. Curriculum Vitae including a list of publications (maximum 3 pages). Where to apply Website https://jobrxiv.org/job/phd-position-in-machine-learning-and-ecology/?utm_sourc… Requirements
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
operates the first Czech quantum computer named VLQ. For more details, see www.it4i.eu . Activity description: · conduct research in machine learning with emphasis on computer vision, · develop and evaluate
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on tungsten samples and candidate tungsten alloys will validate the simulations and guide the design of more dust-resistant materials. Finally, we will use machine learning to integrate simulation and
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up at Nuclear Physics Institute CAS in collaboration with CTU in Prague FNSPE, and Archaeological Institute, Prague, with MILEA AMS machine from Ionplus AG. For FNSPE target analytes are U-236, I-129, Ca-41
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. Approaches researched: molecular dynamics, quantum simulations, machine learning/AI, and high-throughput computing. Required: Mgr./MSc. in chemistry, physics, computer science, or a related field If you are
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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