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related to staff position within a Research Infrastructure? No Offer Description [Technical] Assist the team with computer resources (access to clusters, and scaling machine learning programs), [Technical
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generation dual species Rydberg quantum computer with >400 fully addressable qubits for scalable digital QC (aQCess - Atomic Quantum Computing as a Service) currently under construction. For more information
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Council. He or she will gain expertise in multi-scale molecular dynamics simulations, enhanced sampling techniques and application of machine- learning techniques to analyze simulation data, all applied
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at EM2C lab, which consists in introducing virtual species and reactions whose thermodynamic and chemical properties are optimized by machine learning algorithms to retrieve properties of reference flames
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on Software Development Engineering and System Design Knowledge and practice in Model Driven Engineering: Meta Modelling, System Modelling and Model Transformation, Basic Knowledge in Machine Learning and NLP
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physics or computer science, with a solid background in AI/machine learning techniques. A background in plasma transport phenomena as well as an experience with data analysis, statistical methods, and
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materials or molecular modeling and will have skills in algorithmic programming (python required, C++ would be a plus). Experience in the field of machine learning will be appreciated. Additional comments
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Rydberg atom qubits and leads the development of the next generation dual species Rydberg quantum computer with >400 fully addressable qubits for scalable digital QC (aQCess - Atomic Quantum Computing as a