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for a duration of 4 years. The optimal starting date for this position is September 2026.
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the realization of 1:1 full-scale prototypes Assist in robotic fabrication and digital production workflows Contribute to material testing, system optimization, and physical prototyping Support
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mastering complex techniques, optimizing experimental workflows, and continuously improving laboratory practices. We are looking for an enthusiastic team player with a passion for neuroscience, a growth
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optimization, early investment, and progression to later stages You co lead cross functional initiatives to improve early development statistical strategy and operational excellence, including standardization
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-cell data) using existing pipelines Demonstrated ability to enhance, optimize, and extend existing computational pipelines, as well as design and implement new workflows Experience working with large and
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viruses (AAVs) are the leading platform for gene therapy, yet their clinical potential is often capped by sub-optimal tissue tropism, pre-existing human immunity, and low manufacturing yields. This project
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the optimized intervention that resulted from the digital-twin experiments indeed also improved human learning. The group now aims to examine how large language models can serve as digital twins for human
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of machine learning and high-performance computing, tackling complex, open-ended challenges to deliver scalable solutions. You will design and optimize a software-defined infrastructure that enables cutting
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Development and optimization of experimental workflows to support scientific and user-driven projects Development of custom automation solutions to address specific project needs Support for system integration
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models to diverse energy systems and research questions. The ESA group is headed by Prof. Dr. Russell McKenna and generally focuses on the optimization and assessment of complex systems and infrastructures