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Field
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strategizing across multiple transitions (using value-driven tools). Analyze empirical data using process-oriented research methods focusing on how value work influences mindsets, team effectiveness, and the
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) in an experimental model of multiple sclerosis (MS). This project builds on recent findings from the phase III Hercules trial (Fox et al., NEJM 2025) showing therapeutic effects of BTK inhibition in
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to the interior of the cell. GPCRs are involved in multiple physiological process including cell growth, neurotransmission, metabolism & immune response; they can misfunction in disease and consequently have served
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The project: The focus of this project is on the novel and exciting concept of multi-rotor wind turbines; a new design paradigm for wind energy, that is attracting an increasing amount of attention
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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will also design and develop new software and prototype models. Research areas: Computer science, Simulation-based automated synthesis and verification of human physiology models, Artificial intelligence
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). • Experience in data preparation, machine learning • Experience in processing 3D medical imaging. • Keen interest in cardiology and medical imaging. • Good command of the English language. • Ability
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experimental mechanics profile of excellence, to work on a challenging micro-mechanical testing project, in an exciting multidisciplinary team. Context The yield of many manufacturing processes of micro- and
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–plant interactions. Your main responsibilities will include: Developing and applying high-resolution time-lapse GPR and EMI imaging methods at multiple scales to enhance our understanding of the soil–root
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the efficacy of the treatment, we have multiple research lines that utilize quantitative MRI at Amsterdam UMC. However, current quantitative MRI approaches have notoriously poor image quality, low resolution and