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Field
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by PI Dr. Jessica Hsu (starting January 2026), is seeking highly motivated and creative postdoctoral fellows to join a research program that integrates molecular imaging and nanomedicine, leveraging
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, spectroscopy, and imaging instruments forward to complement our molecular tools. One of our main topics are so-called photoswitching proteins whose photophysical properties (e.g. on/off fluorescence emission
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approach. Fundamental research focuses on induced pluripotent stem cell (iPSC)-derived neuronal models to elucidate the molecular and cellular alterations contributing to neurodegeneration in familial and
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encompassing cell culture, molecular biology, metagenomic sequencing technologies Experience in handling microbial pathogens Attributes and Behaviour Excellent (written and verbal) communication and teamwork
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study strand displacement technology in more complex, hybrid environments to demonstrate predictive models that can account for these more complex settings. Using molecular-level simulations, basic theory
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Designing hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledge Advancing causal inference methods to predict transformation products
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spectrum - from molecular biology studies of disease mechanisms to human clinical trials testing treatments. The selected candidate will gain experience with human research subjects, genetic mouse models
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ideally a PhD or additional relevant experience of working in parasitology or molecular biology laboratories, pathogen genomics research groups, or other relevant areas. The post is full time (35 hours per
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-mentioned tasks is included. Qualifications Appointment to a position as a researcher requires that the applicant has a PhD. Required qualifications: A completed PhD in molecular and cell biology Excellent
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monitoring and optimisation. • Physico-chemical and molecular characterisation of the polymeric materials obtained. • Scientific supervision and training of junior researchers and students involved in