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PhD student to establish recipes to provide post-plasma catalysis with different C2Hy distributions and different enthalpy content for optimization of post-plasma catalysis into C2H4. PhD candidate in
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, quantum networks are slowly becoming a reality. The coordination algorithms that govern their operation are unlike those employed in classical networks, necessitating novel verification approaches. The goal
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that different insights lead to innovative solutions. We create a work environment where everyone feels welcome, safe, and appreciated, regardless of background, identity, or experience. Together, we are building
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-ON-BRAIN) that connects different countries with the overarching aim to develop cutting-edge human in vitro and in silico biomedical tools to better understand the biology of brain disease/disorders. You
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will perform experiments, develop dose-response models and mechanistic understanding allowing to develop a workflow allowing understanding and awareness amongst different stakeholders. You will be
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Welcome to Maastricht University! The world is changing fast, and we’re changing with it. At Maastricht University, your work makes a real difference – whether you’re exploring the future through
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design, open science practices) and data analytic abilities (for example, meta-analysis, simulation studies, multilevel and/or mathematical modeling) In-depth knowledge of (statistical) programming tools
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qualities a PhD degree in computer science, artificial intelligence, mathematics or other relevant engineering degrees; three to five years of experience with knowledge development, applied research, IT
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behavioral component as it would be interesting to study how consumers perceive algorithmic discrimination of different kinds and how companies can mitigate negative perceptions. During their PhD
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engineering, applied physics, or applied mathematics, with proven experience (courses, projects, and work experience) in the field of wind energy or aerospace engineering. A combination of good mathematical and