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Requirements Possess a PhD degree in Environmental Engineering or related field. Has relevant R&D experiences in RAS system for aquaculture system. Open to fixed-term contract More Information Location: Kent
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series data from pre-conflict environments (both interstate and civil war) and apply recent machine learning techniques to forecasting the onset of these events. Application Procedure Candidates should
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remission as a model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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structural biology to tackle challenging scientific questions. Your responsibilities will include, but are not limited to: Multi-omics analysis of bulk and single-cell sequencing data. Developing deep learning
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sustainable commuting options, including a cycle loan scheme, discounted bus travel, and season ticket loans. Access to a vibrant community through our social, cultural, and sports clubs. About You Hold a PhD
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journals. Have experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing
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research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. Your faculty's broader role The Faculty
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, and in particular, interaction data, with a focus on examination of collaborative learning processes and practices. The PhD position can be connected to ongoing projects with a focus on collaborative
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objectives and to help with the work of the centre. For information about CALS, please visit http://law.nus.edu.sg/cals/ . CALS values scholarship employing a wide range of methodologies (doctrinal, empirical