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) physics. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track
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. Desirable Expertise in computational fluid mechanics, broadly construed. Expertise in Bayesian methodology for optimization and experiment design. Experience with equivariant neural networks. Track record
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Entrepreneurship and Renewal: This line examines how organizations engage in strategy renewal and implementation, balance exploration and exploitation, and create and capture value across different organizational
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Make a difference with your research. Join us to build advanced population models based on the field observations. You’ll collect and analyse data on conservation options - predator management
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in practice. You will also work alongside a diverse team of researchers and stakeholders from different disciplines and sectors, gaining valuable experience in interdisciplinary collaboration and
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industrial and regulatory partners, ensuring its relevance and applicability in practice. You will also work alongside a diverse team of researchers and stakeholders from different disciplines and sectors
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) for engineering systems and structures, as well as expertise in machine learning, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R
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, stochastic modeling, and Bayesian statistics. Programming Skills: Proficiency in programming languages such as Python, C, or R. Teamwork and Responsibility: Ability to work effectively within a project team
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around us? At Maastricht University, you will investigate how individuals differ in predictive processing by combining behavioural and neural testing with computational modelling. Together with colleagues