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agents for data analysis, and the design of interactive systems that keep human analysts in control of AI-assisted sensemaking. Responsibilities Conduct research on agentic visualization: generative AI
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; biochemistry/signal transduction; Orbitrap/timsTOF instrumentation; Python/R analysis Desirable: biomarker/clinical sample experience; interest in LRRK2 biology and neurodegeneration Contact Dario Alessi
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. Collect and process environmental and insect samples for DNA sequencing. Analyse microbial communities associated with freshwater habi-tats and pollinators. Direct and support to the analysis of high
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analysis of consumer-citizen studies related to fermented plant-based food prototypes. Therefore, the candidate will contribute to the development of online experimental consumer and sensory studies
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and methodological analysis of how landscape change influenced the historical development of environmental anthropology in the Kalahari and should be prepared to work in a collaborative research team
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listed on the page above are of interest to you. The list includes positions covering Groupoid C*-Algebras, Ideal Structure and KMS States, Probability Theory and Analysis. The list may be updated with new
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, including quantitative PTM analysis, mass spectrometry method development, data-independent acquisition (DIA) strategies, laboratory automation, and scalable proteomics workflows. Both positions are initially
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-Norm) is preferred. Experience with citizen science, co-creation, or other participatory/qualitative research methods is an advantage. Strong quantitative and statistical analysis skills (e.g. SPSS, R
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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and KMS States, Probability Theory and Analysis. The list may be updated with new areas up until the deadline for application. As a successful candidate you are expected to: shine in individual and