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generally, the digital continuum (HL-LHC, SKAO and SLICES-RI). ODISSEE will provide evolutionary and revolutionary hardware and software platforms to meet the digital challenges of these major infrastructures
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the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
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, suitable for deployment on ARSPECTRA devices. You will work at the interface between finite-element modelling, software engineering and embedded/edge computing. Key Responasbilities: Develop and optimise
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 2 months ago
of hyperscanning data. Hands-on management of hyperscanning experiments, including the use of PsychoPy and lab recorder software to develop triggers to allow alignment of the different kinds of data (language
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demonstrate the following skills: - coding in Python - Life Cycle Thinking (LCA, MFA), or spatially-explicit environmental footprinting, applied to mineral raw materials - Knowledge/use of LCA software (e.g
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-ordina… Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications You have skills in software design (Python, C/C++) and mastery of simulation
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. • Proficiency with commercial software for periodic DFT (e.g., VASP) and/or molecular calculations (e.g., Gaussian). • Experience in Molecular Dynamics or Global Optimization calculations is a plus. • Significant
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system housing the two arms of the PET-SCAN system - Develop a simulation tool to optimize the prototype structure - Develop software tools for data acquisition and processing This work is being carried
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experience with existing single-cell methods and software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English
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methodologies. • Proficiency in using computer tools and software dedicated to data processing. Personal qualities: • The postdoctoral researcher must be motivated, rigorous, well-organized, and able to work