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experience in a related field, appropriate to an early career researcher C12 Technical skills to apply machine learning techniques to classify animal behaviour from accelerometer data Experience Essential: E1
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role. A2. Working knowledge IT skills including Microsoft Word, Excel, TEAMs, Office 365 and Outlook. Desirable: B1. Knowledge of methods of HE assessment B2. Knowledge of Virtual Learning Environments
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, theoretical and practical knowledge of computer programming, machine learning and an interest in synthetic chemistry. A3 A comprehensive and up-to-date knowledge of current issues and future directions within
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and other laboratory materials daily from the labs for washing. 3. Clean glassware to a very high standard by hand washing, machine washing and sterilising as required, visually check all items
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. We are looking for someone with expertise in one or several of the following; integral projection models, movement ecology, population ecology, machine learning, or animal-borne telemetry
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or techniques Desirable B1 Specialist knowledge of energy efficiency of mobile communication systems and/or machine learning Skills Essential: C1 Excellent programming, algorithm development, and mathematical
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strategies for 3G detectors. 3. Develop prototype analyses that may leverage machine learning and GPU acceleration techniques. 4. Document research output including analysis and interpretation of all data
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research priorities. They have expertise in analysing next generation sequencing data, metagenomics, transcriptomics, data integration, molecular evolution and phylogenetics, machine learning, software
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and future directions within the wider subject area or subject specialism A3 Knowledge of AI and machine learning. Skills Essential: C1 Research creativity and strong cross-discipline collaborative
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statistics, as well as substantiated knowledge of machine-learning and Artificial Intelligence (AI) methods applied to Earth Observation geospatial data (e.g., satellite imagery, sensors, street view images