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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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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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on non-target species”. The project is part of the research project ENvironmental SAFEty of biotechnological plant protection products based on short interfering RNA and peptides (ENSAFE.dk), which is
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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