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Field
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mechanisms. Elucidating Cellular Networks: Linking sensory phenotypes with the molecular and biological functions of GPCRs. Nurturing Young Talent: Supervising and training chemistry and food chemistry
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lab members, the group's organoid/tissue-engineered infection models (airway, gut) to prioritize physiologically relevant hits Co-supervise PhD students and contribute to method development, data
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 9 days ago
PhD in psychology, neuroscience, cognitive science, biostatistics, or a related field Passion for cognitive research and neuropsychology, and a genuine interest in cognitive
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, annotate and analyse metabolomic data using dedicated pipelines (construction of molecular networks, querying spectral databases, in silico annotation, calculation of metabolic diversity indices). Contribute
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. QUALIFICATIONS • PhD in Biological Sciences, Chemical Engineering, or related fields • Strong background in microbiology and quantitative analysis SKILLS • Microbial cultivation and bioreactor operation • Ability
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Lab and Network Science Institute meetings and contribute to the group's collaborative research culture. Person Specification Criteria A PhD, awarded or near completion by the start date, in
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build on two trajectories currently underway. The first is led by a PhD researcher who investigates educational practices that protect learning in the presence of increasingly powerful automation tools
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identifying ecological and functional connections between environmental and host-associated microbiomes. The postdoctoral researcher will work closely with a PhD student and an international network
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collaboration with the team. Your profile PhD degree in physics, materials science, chemistry, electrical engineering or a related discipline Knowledge of UHV and thin-film technology Prior experience in PVD and
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-sequencing datasets from across a large, international collaborative research network. The role involves establishing a robust pipeline to generate a transcriptome-wide map of STR expression in PD brain tissue