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Field
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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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has a well established reputation for wide-ranging research with an emphasis on long-term processes, and with economic theory and quantitative methods as important methodological tools. Strong research
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change theory and practice, implementation science, and associated measurement and analytic techniques. The candidate is expected to help bridge these domains using validated statistical tools. Applicants
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contributing positively to a collaborative research environment. Desirable: experience with building energy or power system applications, cooperative or coalitional game theory, or high-performance computing
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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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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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, 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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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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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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systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis skills Computational neuroscience background Behavioral data analysis skills Strong