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. Key Responsibilities: Develop learning-based navigation algorithms for complex environments. Integrate perception and navigation modules into unmanned vehicle platforms using ROS or similar systems
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. The successful candidate will play a pivotal role in a project centered around variational quantum algorithm in the near-term, especially on innovating advanced error mitigation or detection techniques to solve
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, findings, data, software, etc. are correctly archived and transmitted through appropriate channels. Key responsibilities will include but are not limited to: Algorithm development, implementation, and
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In this project we seek a motivated individual, with extensive mass spectrometry experience, who wants to develop a new instrument and apply it to the study of MDa. protein assemblies. You will be
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recruitment agency will be considered a gift. Enquiries about the vacancy, shortlisting and interviews: Name: Dr Helen Brooks Email: helen.brooks@manchester.ac.uk or Name: Prof Penny Bee Email: penny.bee
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developing and devising machine learning algorithms in an energy context Ability to assess research resource requirements, and use resources effectively, to plan and manage research activity Strong analytical
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience
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HiPerBreedSim project. In this role, you will leverage recent advances in working with ancestral recombination graphs (ARGs) to develop algorithms and code for simulating population genomic data, including
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or use existing simulation platforms to validate the developed algorithms and models. Analyse simulation data, and create visualizations to support research findings. Design and build prototypes
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considered a gift. Enquiries about the vacancy, shortlisting and interviews: Name: Dr Helen Brooks Email: helen.brooks@manchester.ac.uk or Name: Prof Penny Bee Email: penny.bee@manchester.ac.uk General