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Field
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systems, understand the design and development decisions that propagate social biases, and develop theoretical and algorithmic approaches to mitigate them. Key responsibilities include developing bias
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of learned robotic policies and such other tasks that are assigned to you. Core Responsibilities: Develop and implement algorithmic solutions for the safety monitoring of learned robotic policies. Create and
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. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data. The PhD position will focus on development a comprehensive and AI-driven platform
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: Computational Sciences / Bio-computing Appl Deadline: (posted 2025/11/10, listed until 2025/11/30) Position Description: Apply Position Description As a computing researcher, you will be primarily responsible
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work environment. We are seeking creative and upbeat Research Assistant that will assist in the development and execution of research projects including experiment design, analysis of data collected and
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Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods of research, testing and data
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; T2: State-of-the-art review and model testing; T3: Development of algorithms for information extraction; T4: Algorithm testing and validation; T5: Preparation of reports, presentations, and other
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to make an important contribution to the development of research in Computer Science (https://www.durham.ac.uk/departments/academic/computer-science/ ). It supports the newly founded JusTN0W initiative
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in pursuing this studentship and prepare a research proposal on “Digital Trust in the Computing Continuum” (a list of suggested topics will be provided by Kent). provide details/evidence of
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-Making and Route Optimisation: Develop adaptive algorithms within a bias-aware ensemble Kalman filter framework to propose alternative flight paths dynamically. The system will aim to maximise safety and