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Field
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/Responsibilities: Design and implement a modular ROS 2 software architecture for onboard sensing, autonomy, mapping, data logging, launch management, and configuration management. Develop and integrate ROS 2 drivers
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methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management
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Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis
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cheminformatics or polymer informatics, molecular representations, descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion, interpretable machine learning, NLP, text mining
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data analytics, and manufacturing process optimization. Develop and apply models, algorithms, or data analysis workflows to support machining process understanding, machine tool characterization, process
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’, increasing America’s security and prosperity by addressing its energy, environmental, and nuclear challenges in eight key science areas: Biology & Environment, Energy Science, Fusion & Fission, Isotopes
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area on our Why Join Us? - Information Page The Department A World Top 100 department in the 2025 QS subject rankings, our research spans advanced instrumentation, astronomy and astrophysics, condensed
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the use of machine learning and AI approaches • Integration of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets Requirements • The successful applicant will
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? - Information Page The Role and Department The successful candidate will be working in the Durham University Space Research Centre (SPARC) and the Centre for Advanced Instrumentation (CfAI) in the Department
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? - Information Page The Role and Department The successful candidate will be working in the Durham University Space Research Centre (SPARC) and the Centre for Advanced Instrumentation (CfAI) in the Department