38 quantum-physics-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" positions in Czech
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21 Mar 2026 Job Information Organisation/Company Institute of Chemical Process Fundamentals of the CAS Research Field Chemistry Researcher Profile First Stage Researcher (R1) Application Deadline 30
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particle physics (3 positions) and quantum technologies (1 position) at the Department of Physics The Dean of the FNSPE CTU in Prague announces a selection procedure for 5 academic positions of Assistant
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20 Mar 2026 Job Information Organisation/Company The Extreme Light Infrastructure ERIC Research Field Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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20 Mar 2026 Job Information Organisation/Company Czech Technical University in Prague Research Field Physics » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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5 Feb 2026 Job Information Organisation/Company Charles University, Faculty of Mathematics and Physics Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 7
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for advanced, independent research in physical geography and geoecology. It explores the interplay between nature and society, covering disciplines like geomorphology, hydrology, climatology, pedogeography, and
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Department: Department of Physical Activities and Health Sciences – Faculty of Sports Studies Deadline: 21 Jan 2026 Start date: 1. 3. 2026 or as agreed Job type: full-time Job field: Management
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. For further information, visit: https://www.mbnresearch.com/MS-RADAM/DC-research-projects Requirements Research Field - Physics, Chemistry, Biological Sciences Education Level - Master Degree or equivalent
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the interface of plasma physics, quantum electrodynamics, and computational modeling. Your qualifications PhD degree in physics Knowledge of laser-plasma physics Theory and modelling of ultra-intense laser-matter
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the robot's physical embodiment suffer from poor generalization, weak explainability, and limited transferability; (ii) sample-inefficient learning requires large volumes of annotated, domain-specific data; and