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applications, data collection, and dissemination. The role will involve qualitative research such as discourse analysis, interviews, participatory workshops with carers and stakeholders, and data coding
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collection and analysis such as interviews, discourse analysis, participatory workshops, coding, and content analysis. The postholder will also contribute to the new Race Equity in Care survey, including
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open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you will contribute: in the application of the developed
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writing, and proposal authorship is an advantage. Great motivation for research and innovation work, interest in the topic, and good knowledge of relevant theory and methods are a must. We are seeking
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technology experts work together to build a framework on open-source code (Python) that is high-performing and scalable to comprehensively quantify uncertainties using probability theory. This is where you
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/or mathematical programming tools) applied to modelling agricultural and food policies and markets. Good knowledge of microeconomic theory and agricultural and food policies. Experience in using
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, Robotics, Computer Science, Statistics, or related discipline. Strong background in Machine Learning and Control Theory. Demonstrated experience in research projects with industrial partners. Excellent
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of complexity theory, systems thinking, and simulation modeling. • Stakeholder management, marketing strategies, and customer satisfaction modeling. • Both basic and applied research, including contract research
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science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with
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will have a PhD or equivalent doctoral degree in a related field, completed by the start date of the posting. Relevant research background includes a knowledge of the academic literature and theory in