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metabolomics. Your profile We are looking for a candidate with: A PhD in microbial ecology, environmental microbiology, plant–microbe interactions, biogeochemistry, or related fields. Demonstrated
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: Completed PhD in a relevant discipline. Strong research background and competency in relevant research skills or areas for the post. Examples include: Demonstrated experience in microbial strain engineering
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and analysis of psychophysiological, e.g., ECG, photoplethysmography, behavioural, e.g., interoception, and self-report data, e.g., interoception, somatic symptoms, mental health, from different sources
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, preferably using yeast Genome engineering / synthetic biology, yeast and/or mammalian Cell biology, microscopy, and biochemical approaches Functional genomics and computational data analysis, including AI
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motivation for applying to the advertised research topic and/or project, including how your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the
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treatment conditions. Development of analytical methods for the analyses of PFAS and their degradation products. Disseminating project results through scientific publications and conference presentations
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complex biological data into mechanistic insights with direct relevance for therapeutic and diagnostic innovation. The laboratory is based at one of the world's leading medical universities and promotes
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communicate your work, contributing to scientific publications, stakeholder presentations, and potential valorization or IP development. Job requirements A PhD in data science, applied physics, chemistry
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structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
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analyses. Machine learning for biological data (e.g., protein language models, transformers, generative models) and interest in building interpretable tools for experimental colleagues. Qualifications PhD