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approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically
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RNA metabolism using established human stem cell models of ALS. The post holder will utilise state-of-the-art molecular methods combined with cutting-edge sequencing approaches (through a collaboration
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is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The College of Computing
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approach to achieve a goal, once a problem statement and/or a research scope is defined by the PI and the staff. The staff will need to execute the plan experimentally and interpret the data critically
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analysing of point cloud data mainly from airborne LiDAR (ALS) but potentially also from terrestrial and mobile sources (TLS & MLS). The goal of the project is to uncover the efficacy of using airborne LiDAR
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meetings and reports Job Requirements: PhD degree in Earth science, Geophysics, Geodesy or a closely related field As position requires stakeholder engagement in English, candidate must have excellent
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literature searches, using SPSS to enter data, analyze data and maintain trial databases, as well as assist in preparing both progress and final reports of the projects; undertake the day to day running of
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of multi-qubit entangled states. Develop and implement theoretical models and/or experimental protocols to explore practical quantum applications. Supervise and mentor junior researchers. Write and
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against existing commercial technologies. Key Responsibilities: Perform literature review on data available for commercial processes Provide estimations for data not available in literature Develop process
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with enhanced properties. Appointments will initially be made on a 1-year contract, with the possibility of extension. PhD holders with no prior experience in phage-based evolution systems are welcome