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Engineering, Mathematics, Computer Science, or a related quantitative field A strong mathematical background, including familiarity with optimization, probability, and the analysis of mathematical models A
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investigate how neuronal activity and the physical tumor microenvironment cooperate to drive brain cancer progression. The project Brain tumors do not grow in isolation. Glioma cells form functional
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students who will contribute novel multimodal generative AI architectures, latent diffusion processes, and reinforcement learning approaches. Interestingly, the proposed model will interface with an
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-dependent constitutive models for crack interface mechanics (aggregate interlock) - Large-scale testing of reinforced concrete elements (panels, beams, walls) - Development of analytical and numerical
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team of researchers working at the interface of structural engineering, earthquake engineering, and heritage conservation, and will have opportunities for collaboration and research visits in Croatia
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second harmonic water imaging to (1) image interfacial water in real time as well as the electrostatic field lines on lipid membrane interface model systems, and (2) image in real time membrane fusion
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regular faculty, and gradually progresses to the latter. Instructors are expected to be able to teach courses in English or French. Applicants should have a PhD in Mathematics or in Computer Science
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profile You have a master’s degree in computer science. You have experience with the humanitarian sector and/or in remote sensing. You are proficient in Python coding and deep learning frameworks. You are
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Physics, Optics, Micro-/Nanotechnology, Materials Science, Energy, or a related quantitative field A strong background in several of the following fields: theory of light-matter interaction, computer
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international universities. CANDIDATE PROFILE We are looking for a PhD candidate with a strong analytical background and an outstanding MSc degree in Computer Science, Robotics, Chemical/Process