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focus on combining simulations using spatial-genetic-demographic individual based models (e.g., using the software SLiM), machine learning approaches, and genomic data to estimate larval dispersal
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modern machine learning, statistical signal processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs
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memory safety, supply chain security and machine learning Independent teaching Student supervision and academic publications Training and professional development Organisational and administrative duties
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. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and
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resource acquisition trait parameter space, and perform scenario analyses tailored to a set of Swiss lakes. There will be close collaboration with the other PhD candidate and Postdocs of the projects
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, Computational Neuroscience, Computational Psychology or Behavioural Science; Transport Modelling, Transportation Science or Urban Mobility; Data Science, Artificial Intelligence, Machine Learning
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of different concepts. This endeavour is typically accompanied by new insights and synergetic effects due to the inherently different viewpoints of the previously separate fields. Our task force on machine
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, and undertake dissemination activities. The i3WaterS training programme integrates expertise in areas including: Artificial intelligence and machine learning Explainable and trustworthy AI Knowledge
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count on a broad group of experts, four fully funded PhDs candidates and one postdoc. For this position, we are looking for a PhD candidate eager to deal with the understanding of the diverse values
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/Qualifications Requirements: • Master’s Degree in Computer Science or Mathematics or Physics or a relevant discipline. • Background in machine learning or programming