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philosophy and/or social studies of science and technology. The position is part of the Horizon MSCA Doctoral Network “Towards sustainable computational fluid dynamics” coordinated by the Institut National
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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
broad scientific network and gain hands-on experience with complementary expertise and facilities. Responsibilities and qualifications As a PhD candidate, you will take a leading scientific role in
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cells isolated from peripheral blood and cerebrospinal fluid samples. Carry out cellular and molecular biology experiments, including B-cell isolation and culture, flow cytometry and molecular analyses
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
on the glymphatic system, a brain-wide fluid transport network that facilitates the clearance of metabolic waste and neurotoxic proteins from the central nervous system. Growing evidence suggests that impaired
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to apply Website https://www.academictransfer.com/en/jobs/363306/phd-ai-based-cardiovascular-ima… Requirements Specific Requirements You are a motivated researcher with a strong technical background and a
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. Preferred: background and/or experience in microfluidics and image processing. Strong interpersonal skills, teamwork, scientific curiosity, and ability to synthesize information. Where to apply Website https
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skills (evidenced by high grades) are required Prior research experience in problems related to fluid mechanics, structural vibrations, model reduction or control is expected Experience in nonlinear
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microfluidics Having taken courses on continuum/fluid mechanics with good scores Experience in simulating fluid mechanics problems using, e.g., COMSOL Experience in interdisciplinary research Experience in
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
parametric studies following a design of experiments and to generate databases of physical fields that can be used to train generic meta-models [McCabe et al., 2025]. Furthermore, since industrial equipment is
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Computational Fluid Dynamics (CFD) has become indispensable for aerospace design, many important problems—including high-fidelity flow simulations, uncertainty quantification, and multidisciplinary optimization