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laboratories for chemistry, materials, biology, etc. AI/ML for predictive modeling and inverse design Generative models, reinforcement learning, and agent-based approaches to streamline experimentation and
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/Python), deployment (to the agents' onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard
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collaboration with other knowledge agents, companies, public administrations and civil society to find solutions that contribute to the ICRA Research and Transformative Innovation Program (PRIT-ICRA). File UR01
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Context: Software engineering is being reshaped by rapid advances in Artificial Intelligence (AI), particularly the growing use of generative AI, code assistants, agentic development workflows
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-based reasoning strategies for oncology, including tool-augmented inference, multi-agent or compound model workflows, process supervision, verifier-guided training, and reinforcement learning-based post
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degree or equivalent knowledge in microbial physiology and genetics. Experience in proper aseptic techniques for working with microbial agents. Experience in training others in proper lab and aseptic
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horticultural knowledge and economic opportunities. The agent also engages in public outreach, volunteer recruitment, and program evaluation while supporting Extension initiatives in agriculture, family and
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LLMs, multimodal data fusion, or agent-based AI systems. Familiarity with privacy-preserving ML, dynamic consent, and GDPR-compliant frameworks. Demonstrated ability to conduct independent research and
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interested in developing innovative antibody-based therapeutics while integrating computational approaches to study tumor biology and mechanisms of response and resistance. Job Description Primary Duties
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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