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Work Activities This fully funded PhD position lies at the interface between fundamental physics and industrial application. It is part of activities in ARCNL’s Source Department. The research
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challenging from the perspective of recyclability, adhesion and expansion coefficient, which creates stresses. We are seeking a motivated PhD Researcher to work on new methods for applying circular and multi
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quantitatively benchmark a detector or detector array suitable for integration into a compact spectropolarimetric camera. You will work in the Electronic Instrumentation group of the Department of Microelectronics
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other high-risk care settings raises important ethical and practical questions. The main question of this PhD-project is how psychophysiological states and stress responses influence staff wellbeing and
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process. This project offers a unique opportunity to work at the intersection of machine learning and control theory. You will develop rigorous theory and scalable computational methods for certifying
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how IVF embryos are assessed. Ultimately, your work will contribute to more successful IVF treatments and healthier beginnings of life. Your colleagues: The project team is spread across three labs
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and its potential as a therapeutic target. Your work will include: Developing cell-based bioluminescent and fluorescent biosensor assays to detect GPCR signalling events in different cellular models
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for identifying drug repurposing candidates. You will contribute to different stages of the research project. Your work will include: Developing and using human in vitro models derived from patient and control
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is the Medicines Evaluation Board (MEB) in Utrecht, the Netherlands. You will be employed by the MEB and embedded in the POLARIS consortium. You will be supervised by Dr Marjon Pasmooij and work
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will contribute to the development and evaluation of gene therapy approaches for PMLD1. Your work includes: establishing and using isogenic iPSC-derived myelinating organoids as a human in vitro disease