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Field
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-centred operation (NCO) information, including positions, threats and airborne warning and control systems (AWACS). Streamlined and effective decision making in complex scenarios. Natural interaction and
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, mathematics or related field. Experience with computer programming languages (e.g., MatLab, Phyton), familiarity with geographic information systems and systems thinking methodologies and an interest in
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on the closing date. If you have any questions about this vacancy, please contact Dr Burigede Liu, (bl377@cam.ac.uk ) for queries of a technical nature related to the role and Liz Howard, (eh301@cam.ac.uk
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nature conservation priority. Dune slacks are seasonally flooded, and the extent, depth and duration of this flooding is a key control over their ecology. Understanding the dynamics of this flooding is
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involve leveraging advanced natural language processing and medical image analysis to transform imaging data into clinically relevant information. Additionally, it will explore the use of multimodal fusion
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field. A background in organic chemistry, and/or high-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is
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field. A background in organic chemistry, and/or high-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is
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mother tongue is not English must meet any one or a combination of the following: A minimum IELTS average score of 6.5; with a minimum of 6.0 in each of the four components A master’s degree awarded in
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their property. Methodology: The aim is to apply a newly developed Coupled Human And Natural Systems (CHANS) model to simulate and understand the interactive human behaviours and social dynamics before and during
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processes. Carbonate biomineralisation is a key process in global carbon cycling, but there are major gaps in our understanding of how biominerals form. We lack a quantitative understanding that can predict