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, for example, decision-making processes, coordination mechanisms, and the allocation of roles and risks among participating actors. The project consists of addressing the following main research questions: How
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guide the learning process. The second reason is that interpretable models typically do not achieve the same level of accuracy as state-of-the-art black-box models. To remedy this, it is worth
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-on support in their experiments. What we ask of you a PhD degree or higher in a relevant field; excellent command of English; a passion for physics, technology and science; the ability to quickly process and
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of the viral infection cycle, such as attachment, entry and release of the host cell. Since these processes take place at the cell surface, we are also actively studying the archaeal cell surface and surface
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spectroscopy and signal-processing techniques. Ideally, you have experience with lasers and/or spectroscopy and programming (i.e. Matlab, LabView/Python). You are a highly motivated, enthusiastic, critical
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guide the learning process. The second reason is that interpretable models typically do not achieve the same level of accuracy as state-of-the-art black-box models. To remedy this, it is worth
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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
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University and IHS,and liaise with researchers across the FLASH consortium. As a member of the core research team, contribute to the design and operation of a Living Lab and stimulate the co-creation
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feedbacks and system dynamics. The meso-scale (e.g., river basins or landscapes) is where these processes intersect, yet, this scale remains underexplored in sustainability science. This PhD project will
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, including developing software repositories for data processing. Present your findings effectively to both academic peers and the general public. Contribute to academic excellence at Leiden University by