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Field
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qualifications relating to the scientific area of the position Experience with independent planning, execution and evaluation of experiments, including statistical analysis Familiarity with theory and techniques
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potential applications. In particular, we focus on evolutionary prediction: can we use a deeper understanding of evolvability to predict and, potentially, control evolutionary processes? Read more about our
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beginning in June 2025. Very strong preference will be given to candidates with backgrounds in educational research, theory, and practice, but other specialties might be considered. The Postdoctoral Associate
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analysis software, proposal writing, and technical publishing Knowledge of power electronic circuit theory such as buck, buck-boost, boost, H-bridge, and multi-level converters Knowledge of basic PWM control
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of infrastructure and technology systems for mathematical/computational modeling and control theory for life-cycle management optimization and policy of smart and sustainable infrastructure and environment systems
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. Strong publication record in the area of computer networked systems. Proficiency in both theory and practice of Computer Science including software development skills in programming languages such Java, C
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sensor networks, robotics, energy, and Smart Cities • Network systems and economics, cooperative control and optimization, game theory • Distributed algorithms for decision making • Machine learning and
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must have taken relevant higher education pedagogical courses. Requirements: Doctorate in computer science, mathematics, or similar. Strong command of both written and spoken English language
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members working on novel high-resolution microscopy techniques to experimentally quantify transition probabilities, alongside density functional theory (DFT) calculations of defects in feldspar. This inter
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emerging at the grid edge, providing essential services crucial to its reliable operation. Employing a diverse range of disciplines such as control theory, optimization, economics, game theory, data