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Field
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pavement networks. This position will focus on modeling and optimizing pavement performance under evolving climate and hazard conditions. This position will advance modeling of pavement life-cycle
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at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical engineering parts. This position offers a unique opportunity to drive
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Take the next step in your research career at the intersection of digital twins, multi-timescale system optimization, and integrated Power-to-X systems with special focus on the electrical
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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individuals holding a PhD in the Life Sciences or an M.S. degree with extensive experience are encouraged to apply. This position will be hired at either the Postdoctoral Research Associate classification
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intelligence-driven approaches to industry challenges, such as warehouse management, ocean freight optimization, and reshoring high-technology industry sectors such as semiconductors and electric vehicles
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altitude balloons, swarm-capable dropsondes, robotic ocean expendables, etc). Impact can be realized through numerical and AI modeling, heightened situational awareness, optimized sampling, and greater
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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ongoing trials on pain pathways, collects and analyzes neurophysiologic and biomechanical data, maintains regulatory compliance, and contributes to a research direction on personalization and optimization
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. Qualifications Required Education and Experience PhD in Biomedical or Veterinary Sciences, Parasitology, Molecular Biology, Entomology or related field. None. Preferred Qualifications Expertise with the following