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Field
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for decarbonization strategies o Fluency in task automation, data cleaning and analysis in a programming language, with a preference for Python and/or R o Strong organizational skills and exceptional attention
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, particularly those involved in the analysis of digital topographic data and in field-based earthquake geology. The post is funded until 31 March 2027, with a possibility for longer term extension contingent
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analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive
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to preventive interventions, decision support to implement mental health interventions, longitudinal data analysis, machine learning/NLP/AI, integrative data analysis, and related grant writing. This candidate
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preliminary data, including: · Investigating the role of a key protein in regulating vesicle trafficking, with relevant biological endpoints already identified. · Exploring the differentiation
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advantage. You have (basic) bio-informatics skills or are willing to learn. Prior experience with FLIM (performing experiments, data analysis, e.g. with FLUTE, Flimfit, SPCImage, GSLab, or napari) and/or next
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, working groups Qualifications Required Qualifications: ● PhD in water resources, hydrology, aquatic ecology, limnology, wetland ecology or a related field ● Experience with synthesis and analysis of large
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meetings Engage in analysis and writing of findings, as author or co-author when substantively involved Share results with stakeholder audiences Write and publish on existing datasets Qualifications: PhD in
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responsibilities will include working within clinical researchers associated with the project, taking responsibility for completion of data analysis, and helping with the supervision of PhD students working
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and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience