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by multi-parameter sensing and creating digital twins of heat-sensitive biological systems (food, humans) that can live together with their real-world counterparts. This project aims to identify better
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in physics-based modeling at multiple scales. We bridge the virtual to the real world by multi-parameter sensing and creating digital twins of heat-sensitive biological systems (food, humans) that can
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of labeled phospho-tyrosine. Your tasks will encompass utilization of state-of-the-art bionformatic tools for protein design, perform high-throughput cell uptake tests, perform selection assays and express
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cooperation with other team members of the team and contribute to conceptualization, design, and characterization of the devices Performing research of highest quality and publication in high impact factor
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applications from prospective PhD students who are interested in performing research in Mathematical and Theoretical High Energy Physics. The PhD work will be carried out in the group of Prof. Alba Grassi
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at the time of application Proficiency in German (spoken and written) Proven track record of strong academic performance Outstanding performance in the Master thesis or comparable demonstration of research
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, you will: Design and perform fluorogenic and nano-photonic DyeCycling experiments. Write/adapt analysis code to process fluorescence trajectories and extract kinetic information. Evaluate bioconjugation
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) to evaluate performance of electrodes and to map electrolyte chemical composition in micrometer resolution, allowing validation of the model predictions. Validation and evaluation of the RFBs with optimized
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) to evaluate performance of electrodes and to map electrolyte chemical composition in micrometer resolution, allowing validation of the model predictions. Validation and evaluation of the RFBs with optimized
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the health and performance of humans in several situations (e.g. firefighters, who are exposed to extreme heat, or older adults who are exposed to heat stress during heat waves) by modeling the environment