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evolutionary and behavioural game theory, multi-agent reinforcement learning, agent-based simulation, or experiments with people and AI systems. Some students may develop new theory or algorithms; others may use
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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prostate, bladder and kidney cancer). The program will draw on expertise in probabilistic modeling and causal machine learning, phylogenetic and evolutionary inference, clonal dynamics, and immune-tumour
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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methods for additive manufacturing applications, including ANNs and evolutionary genetic algorithms for process optimization supported by programming knowledge (e.g. Matlab, Python). Hands-on experience
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neighbourhood exploration in combinatorial optimisation: Research in randomised optimisation algorithms, including evolutionary algorithms, tabu search, and many other approaches also collectively known as meta
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combinatorial optimisation: Research in randomised optimisation algorithms, including evolutionary algorithms, tabu search, and many other approaches also collectively known as meta-heuristics, has long favoured
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datasets to identify and characterize microbial and plant-derived biosynthetic pathways, predict their ecological functions, and reconstruct the (co-)evolutionary dynamics of traits such as microbiome
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on a project in the area of cross-border electricity market. The role will focus on cross-border electricity market design, market risk analysis, bidding strategies, and relevant optimization algorithms