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of the estimand framework and target trial emulation can improve the design, analysis, and interpretability of observational studies for clinical and regulatory decision-making. Your job In this PhD project, you
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PhD in Methodology for combining Target Trial Emulation and Estimand Frameworks Faculty: Faculty of Science Department: Department of Pharmaceutical Sciences Hours per week: 36 to 40 Application
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Spinal cord injury (SCI) leads to devastating and often permanent loss of movement and sensation, yet there are currently no effective therapies to restore function. This PhD project will investigate new strategies to protect and regenerate nerve cells after SCI by combining molecular biology,...
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A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University , the various disciplines collaborate intensively towards major strategic themes . Our focus is on Dynamics of Youth, Institutions for Open...
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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
Generación de Conocimiento by the Spanish Ministry of Science, Innovation and Universities Introduction to the vacant position: The Targeted Therapeutics & Nanodevices Group at the Institute
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characterized by the degeneration of motor neurons. In 2024, after 150 years of research, the first effective gene-targeted therapies became available for patients with specific SOD1 gene mutations (<1% of all
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ALS is a rapidly progressive and fatal neurodegenerative disease characterized by the degeneration of motor neurons. In 2024, after 150 years of research, the first effective gene-targeted therapies
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an altered substrate interaction to study the influence of CBMs on substrate targeting and activity. This project is correlated with Program 3 of Circular Bioengineering, but financed by BIOTOPIA
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Network (MSCA-DN) REMOD-HEALING:“Targeting Extracellular Matrix Remodelling in Cutaneous Wounds to Promote Better Healing” REMOD-HEALING Call for applications for 12 Doctoral (PhD) Training Positions in
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learning by using Bayesian learning principles. Among other things, Bayesian learning gives AI systems the ability to quantitatively express a degree of belief about a prediction or statement. By bridging