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to staff position within a Research Infrastructure? No Offer Description Theoretical physics and mathematical physics aims to understand the physical world from first principles. The prominent methods
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but is also eager to apply these mathematical/computational techniques to the dynamic and increasingly vital area of renewable energy markets. As a PhD candidate in our group, you will dive deep
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Canon. What are you going to do? The PhD will do research in network modelling based on graph theory and population balances, mathematical tools describing changes of molecules on a coarse-grained level
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results. However, they fall short in quantifying model uncertainty, an essential factor for diagnosing Alzheimer’s disease. Bayesian methods provide mathematically grounded frameworks to address model
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? In this research, the candidate will define a general mathematical framework for explainable decision making and introduce models to provide explanations for different classes of optimization problems
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Your experience and profile: a first masters degree or equivalent in computational science, computer science, chemistry, physics, applied mathematics, materials science or an allied field research
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experience and profile: Completed or soon-to-be completed MSc in Computer Security, Computer Science, Mathematics, Computer Engineering, Electrical Engineering or related discipline; Strong interest in
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results. However, they fall short in quantifying model uncertainty, an essential factor for diagnosing Alzheimer’s disease. Bayesian methods provide mathematically grounded frameworks to address model
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to mathematical and computational tools such as (evolutionary) game theory, network science, graph representation learning and recommendation systems. We will hire 3 PhD students to work on different components
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utilization; Applying and combining methodologies from computational fluid dynamics, solid mechanics, and mathematical optimization; Collaborating with both local and international partners (this includes