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invite you to apply for an MSCA Doctoral Network PhD position within the research teams of Intensive Care and laboratory medicine at Amsterdam UMC and the Reinier Haga Medical Diagnostic Center. Clinical
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-of-the-art museum collections and lab facilities, many inspiring colleagues, and access to our international network, Naturalis offers everything you need to strengthen your career as a scientist. As a
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are conducting an individual participant data meta-analysis (IPD-MA). Instead of analyzing summarized results from previous studies, we are working with the original data from individual participants in
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for this role. You will develop, investigate and support technological applications that contribute to a circular and future-proof livestock sector. Combining applied research with systems analysis, you will work
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of Experimental Aerodynamics, Computational Fluid Dynamics and Flow Control. The group has a specific expertise in the field of advanced experimental and computational techniques for the analysis of aerodynamic
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, and how strain rate influences material behaviour. The resulting experimental data will be used to validate numerical models and contribute to certification by analysis of future composite structures
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the intent to diversify the scientific research community. For this reason, we strive to contribute to a non-linear career path with the aim to expand your technical expertise and network for a succcessful (re
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Modeling: Generating and maintaining patient-stratified iPSC lines and innovative 3D "brain chimeroid" models. o Advanced Neurophysiology: Assessing functional network activity and synaptic dynamics using
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flow analysis (dMFA) models to quantify steel stocks, flows, scrap generation, and scrap quality across the EU27, including the tracking of key impurities and tramp elements throughout the steel life
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-actor problems across this cycle, before designing and evaluating interventions. This is precisely one of the methodological cores of Policy Analysis, and of the education we deliver. As an Assistant