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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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the topic, and good knowledge of relevant theory and methods are a must. We are seeking candidates who have proven skills to work in a team, as well as the ability to work independently and in a structured
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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
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feel at home in political theory its application to empirical and/or qualitative research. Preferably, you also have experience in comparative political research. You can work in a small and close-knit