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PhD candidate, you are expected to bring your own creativity to the challenge: How can image-based AI analysis reveal drug effects? How can mechanistic computational models develo on spheroid morphology
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circulating narratives that combine language, images, personal stories, and emotional appeals. Such narratives can shape how migration is understood, intensify political divisions, and mobilise civic action
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households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data
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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine
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, or equivalent) is a strong advantage Experience with high-throughput molecular assays, particularly next-generation sequencing (NGS) data generation and/or analysis, is an advantage Experience with image
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analysis, is an advantage Experience with image processing or quantitative image analysis (e.g., microscopy or live-cell imaging data) is an advantage What we offer At Maastricht University, you’ll work in
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households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data
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contestation, but digital platforms have transformed how it is discussed. Online debates do not revolve around facts alone. They unfold through rapidly circulating narratives that combine language, images
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a willingness to work across clinical, laboratory, imaging, and/or modelling approaches. The ability to work independently while also contributing effectively to a collaborative research team. Strong
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and data taking, designing and constructing upgrades to the machines, data analysis, literature research, and article writing. You will also take an active role in group activities, such as bachelor and