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which cells sense, adapt, and respond to their environment. We study free-living unicellular organisms as model systems. Using microscopy, quantitative measurements, and molecular perturbations, we seek
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will play a key role in ensuring that these complex data streams are acquired, synchronized, quality-controlled, modeled and interpreted with the highest level of technical and analytical rigor. Main
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investigate simplified and analytically tractable models aimed at identifying general principles governing non-equilibrium chemical reaction networks. The position is primarily research-oriented. Contributions
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computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive science
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the field of sustainable construction. The research integrates dynamic material value-chain analyses, ownership models, technical performance assessment, and design-for-disassembly strategies to support the
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through proprioception. We develop widely-used open-source tools (e.g., DeepLabCut), train biomechanically realistic embodied agents (e.g., MuscleMimic, Kinesis, Arnold), and build AI-based models
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of an optoelectronic implant for bladder dysfunction in rodent models Collect and analyse electrophysiological and behavioural data Histologically evaluate tissue following chronic implantation Work independently and as
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a new research collaborator with a PhD in building technology, preferably in the field of building materials and/or building envelope performance and/or building renovation. The candidate must be
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/2603.06760 . A potential target application is the design of model gliders to compete in FAI competitions such as https://www.fai.org/page/f5-electric-flight . Profile Potential candidates are expected to have
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field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field