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Field
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efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, etc. These positions would be especially relevant for those with a
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models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees. Research areas include Representation Learning, Machine learning and Optimization
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/experience in a related field of study. The successful applicant will be a nationally recognised authority in AI (including but not limited to computer vision, natural language processing, optimization) and
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/experience in a related field of study. The successful applicant will be a nationally recognised authority in AI (including but not limited to computer vision, natural language processing, optimization) and
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expected to execute across all aspects of medicinal chemistry. The candidate will be responsible for designing, synthesizing, and optimizing molecules targeting GPCRs (cannabinoid receptors; allosteric and
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optimization problems Develop mathematical modeling framework to find the optimal operation strategy Conduct computer programming to verify the efficiency of the designed solution algorithms Analyze data
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technologies. Design and optimize EUV technologies based on free electron-driven materials Lead papers and publish in high-impact journals Present at top-tier international conferences Assist PI in writing
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Design and perform genome editing experiments in a range of human cell types, including immortalized lines, primary cells, and organoid cultures. Develop and optimize protocols to capture DNA cleavage
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process and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - To contribute to the specification and development of algorithms for optimizing energy systems with
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– Development of the Robot Digital Twin. Objective: Create a detailed digital model of the robotic platforms for simulation, analysis, and optimization. Activities: Nonlinear kinematic and dynamic modelling