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experienced researchers in software engineering across all academic levels. In addition to research, you will also contribute to education activities, specifically to a master-level course on Human-Computer
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and topology or shape optimization tools. The main focus will be on relation between static and dynamic properties, such as effective stiffness and changes in anisotropy, leading to switchable
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to discover how the cell walls of plant cells adapt to mechanobiological cues during development, growth, regeneration, and infection. Key Responsibilities: Conduct high-quality, curiosity-driven, original, and
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Responsibilities: Conduct high-quality, curiosity-driven, original, and independent research focusing on imaging of self-assembling and ice-interactive biomaterials Collaborate with a multi-disciplinary and
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close to the completion of) a Master's degree in Human-Computer Interaction, Experimental psychology, Cognitive Science, Data Science or related discipline with demonstrable interest and/or experience in AI
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(e.g., health-ri.nl ). Publish articles in impactful internationally peer-reviewed outlets (conferences and journals) Job requirements Fluency in Dutch/Flemish Master's degree (or equivalent) in
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and iii) identify the main driver and barriers to the development of green hydrogen valleys. In this position you will be supervised by Zumbul Atan and Albert Schrotenboer. Zumbul, an associate
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on Multi-dimensional Data group under the supervision of Dr. Francesca Zerbato and Dr. Dirk Fahland and help lay the foundations for realizing this vision of "Explainable Process Analytics". The primary
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candidate with proven capabilities who recently finished his/her master (MSc) or will obtain his/her MSc soon. Knowledge, experience and an affinity with electrochemistry are appreciated. Moreover, excellent
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, the project is organized into several main activities: Investigate novel scalable optical data center architectures based on photonic switching technologies and numerically assess the performance via software