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: skills in instrumentation and experimentation; signal processing and electronics; computer science, C/C++ coding; Familiarity with system dynamics and control; Familiarity with computer graphics, 3D
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the basic methods of observational cosmology. Experience in observational data analysis and computer programming skills are essential. This position is reserved for candidates with less than two years
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capacity to engage in interdisciplinary scientific discussions (with biologists, biophysicists, computer scientists, etc.). Applicants must hold a Ph.D. degree and hands-on experience in cell/tissue culture
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via thermodynamic power cycles. However, conventional expansion machines (turbines or volumetric devices) face significant limitations at low power scales: - Turbomachinery suffers from reduced
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of stochastic systems, and possibly reinforcement learning / POMDPs; ● Has, or will soon acquire, skills in Python or R (or equivalent); ● Is willing and able to move between ENS in the Paris region and SETE in
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of definitions, theorems and proofs. We would like to apply this to make the use of computer formalisation practical and current for mathematical research writing. Where to apply Website https://emploi.cnrs.fr
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mobility: research stay at the University of California - Structures-Computer Interaction Laboratory, Los Angeles Additional Information Work Location(s) Number of offers available1Company/InstituteIMT Nord
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dynamics in Energy Recovery Linacs (ERLs). ERLs are an emerging class of accelerators that combine the flexibility and high beam quality of linear accelerators with the efficiency of recirculating machines
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on the University of Toulouse science campus, easily accessible by public transport, car, or bicycle. The CBI offers research teams an excellent international scientific and technological environment with innovative
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accès privilégié à l'instrument THEMIS, ainsi que du temps machine alloué à l'équipe sur les calculateurs nationaux de haute performance (par exemple Jean Zay @ IDRIS, ADASTRA @ CINES) pour réaliser les