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. The successful candidate will be joining the Atomic Quantum Optics group led by Prof. Dr. Morgan Mitchell. The group has several active research topics focused on hot-vapor quantum sensors, including
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out-couplers to interface with external light sources. This architecture will serve as a platform for developing both optical sensors and optical signal processors, leveraging existing integrated
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alarm protocols; experience in sensor deployment/SCADA and data processing. Ability to optimize regeneration systems and integrate them into service networks; knowledge of EU regulations on water reuse
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Infrastructure? No Offer Description Research line: Learning in single cells through dynamical internal representations. Job description: Develop theory, models and algorithms for identifying molecular encodings
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analysis. Methods and algorithms including visualisation and reporting tools. Geotechnical, structural and mechanical characterisation of rock from drilling signals. Calibration and interpretation on rock
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-DIGITALEMERGING)" with the functions of junior research staff of group A, subgroup A1. Specific Development of distributed fibre sensors compatible with telecommunications networks. An important part of the work
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optimiser that accelerates both workflow efficiency and materials discovery. Main Tasks and responsibilities: Own the optimiser: design, implement, and tune heuristic/metaheuristic algorithms (e.g
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pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group
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. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group: Atomistic & Molecular Modelling for Catalysis Group Requirements Specific Requirements PhD in Chemistry
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models and reconstruction algorithms. Develop or adapt scripts (e.g. in MATLAB, Python) to facilitate data analysis workflows. Prepare scientific reports, publications and presentations to disseminate