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Field
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find drug-gene matches Design AI agent systems to let biologists query, retrieve, and reason over large-scale image databases We are also open to your ideas that align well with our interests and
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information and knowledge. Your work tasks The aim of the position is to explore and develop AI agent technologies that can assist healthcare experts in daily clinical problem solving, especially in
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-scale pediatric single-cell and spatial transcriptomic datasets. We are particularly interested in developing AI- and agent-based approaches to nominate cell-surface antigen combinations for emerging
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response to extreme weather events (e.g., flooding, heat waves) with agent-based modeling. Publication in scientific conferences and high-impact journals. Supervision of Bachelor and Master theses
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research program investigating how the intracellular bacterial pathogen Coxiella burnetii , the causative agent of Q fever, reprograms host lipid metabolism to support infection and replication. Current
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-scale biological, genomic or biomedical datasets. Similarly, with practical experience using frontier AI models and AI coding or agent systems, for example Codex or comparable agentic coding tools, you
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-agent systems, RAG, tool-calling workflows, or autonomous scientific workflows. Familiarity with modern AI frameworks and APIs for developing agentic applications. Experience with multi-omics
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consistency Comparing AI implementations across platforms (e.g., BoodleBox and ChatGPT Custom GPTs) Documenting testing results and recommending improvements to agent design and student feedback
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electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in
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integrate physics-based simulations with experimental data and enable artificial intelligence (AI)-agent-assisted scientific workflows. This position will contribute to multidisciplinary research connecting