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protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
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https://academicpositions.com/ad/eth-zurich/2026/phd-researcher-agentic-ai/2511… Requirements Research FieldComputer scienceYears of Research Experience1 - 4 Research FieldComputer scienceYears
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patients responds to the therapy. Biomarkers are biological indicators that can allow to identify patients that will, or will not, respond to a particular treatment. But patient selection based on currently
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responds to the therapy. Biomarkers are biological indicators that can allow to identify patients that will, or will not, respond to a particular treatment. But patient selection based on currently available
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physiological functions, unfold within real-world contexts, adapt to technological change, interact with artificial and autonomous agents, or operate within complex multi-agent systems. We welcome diverse and
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. Familiarity with agentic AI frameworks and how curated datasets feed retrieval-augmented generation (RAG) or LLM-based co-scientist systems (e.g., LangGraph, DSPy, or equivalent). Experience with NLP techniques
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primary job functions. ? Ability to prioritize and accept additional responsibilities based on the changing needs of the work setting. ? Ability to utilize references and/or drug information sources
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autonomous systems that collaborate effectively while controlling what outside observers can infer? In this PhD project, you will develop security-aware planning and control methods for multi-agent cyber
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synergy with its strategic partners, and provide training on causal inference to the next generation of investigators. For more information on CAUSALab, please visit: https://causalab.sph.harvard.edu
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agents to investigate biological mechanisms and disease processes. The candidate must hold a Ph.D. degree in molecular biology, chemistry, biochemistry, or a related field and have over 4 years