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Field
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to work on meaningful projects with direct clinical relevance. About the role In this role, you will develop and implement computer vision and deep learning algorithms to analyse CT and MRI data from
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-based algorithms, establishing a radio propagation model, and conducting network planning and optimisation. The successful candidate will also need to visit our industrial partner in the UK/EU, to do
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Experience: Knowledge of AI frameworks and algorithms, particularly those related to decision-making and ethical AI. Machine Learning Experience: Knowledge of ML techniques, including reinforcement learning
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work on a project to conduct research for human robotic teaming, in particular: Perform optimization on complex system subject to various constraints. Design and develop real-time algorithms. Simulate
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formats. Experience with AI and deep learning algorithm development for medical image analysis. Familiarity with SQL, Python, Tensorflow, Scikit-Learn, and Pandas. Additional Qualifications Considered
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developing mathematical algorithms and simulations in MATLAB, in particular with Semidefinite Programming and Sum of Squares and of the analysis and design of feedback control systems using these approaches
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reconstruction, 3D modelling software (Autodesk Revit, Dynamo), including open-source frameworks and algorithms for structural and M&E BIM reconstruction. 3. Experience in Python programming, machine learning
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particular to the development and validation of novel computational language models, algorithms, and tools for spoken language-based cognitive tests for low-resource languages, and their integration with
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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-seeking algorithms in transportation networks Game-theoretic approaches to cybersecurity and security games Integration of human behavior modeling in smart mobility systems Required Qualifications