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address outstanding questions on behavioural evolution in canids. Your work assignments Understanding how behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model
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to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and
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, signal processing and/or wireless communication. Basic knowledge of and/or experience in working with reinforcement learning/other machine learning algorithms Excellent command of spoken and written
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sciences . Project description The Johannesson lab at DEEP makes use of the unique lifestyles of fungi to explore evolutionary questions about individuality and genetic inheritance. The group is now looking
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the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics
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divisome protein complexes. Prokaryotic cytoskeleton proteins offer a fantastic and unexplored world of protein polymer assemblies with diverse similarities and evolutionary aspects comparable
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. Prokaryotic cytoskeleton proteins offer a fantastic and unexplored world of protein polymer assemblies with diverse similarities and evolutionary aspects comparable to the eukaryotic cytoskeleton. The thesis
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, we aim to generate knowledge towards the development of sustainable pest and disease management solutions based on conceptual theory and empirical eco-evolutionary, molecular, and genetic data that can
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management solutions based on conceptual theory and empirical eco-evolutionary, molecular, and genetic data that can meet the needs of current and evolving plant production systems. Read more about our
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, machine learning or similar. Alternatively, you have gained essentially corresponding knowledge in another way. The applicant is expected to have good knowledge of computer science, mathematics, algorithms