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Field
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logistics. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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intermittent. The PhD will work will be twofold. The first part will be to improve and develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open
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managing timelines and deliverables. Qualifications Advanced Degree: A PhD in a relevant field such as computer science, economics, political science or cultural evolution Programming Skills: Proficiency in
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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team to develop integrated control algorithms for autonomous cubesatellite formation flying. The controllers that will be developed during this project will differ from previous work on this topic by
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological
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early October 2025. Qualifications MINIMUM QUALIFICATIONS Education ▪ Applicants are required to have or receive before their appointment a PhD in a related field. Related Skills & Other requirements
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20th June 2025 Languages English English English PhD Research Fellow in towards battery digitalization: a continuum physics-based model development Apply for this job See advertisement About the