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agents and treatment combinations in cancer models. Manage and maintain mouse xenograft models (including PDX and cell-line derived models). Perform drug administration, tumor measurement, sample
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: Recommender system for biological control agents against plant pathogens”, “2023.14580.PEX”, ”DOI: https://doi.org/10.54499/2023.14580.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P. through
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Language Model (LLM) Strong biostatistics knowledge including survival analysis and causal inference Experience with reinforcement learning, agentic AI systems and autonomous decision-making frameworks Data
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, Biochemistry, and be enrolled in a PhD or a non-degree course, relevant for the development of the activities included in the project. Knowledge in different cell culture models (e.g. cell lines, primary
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.-based academic institutions who can be matched to projects within their area of scientific expertise for this unique 2-3-year assignment. Applicants who are awarded a postdoctoral position will have the
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engagement methodologies for the design of large language model (LLM) agents within digital health interventions. Stakeholders in this context include subject matter experts—such as clinicians, healthcare
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platforms incorporating therapeutic agents (e.g., nucleic acids, small molecules, peptides), involving mRNA for gene therapy. In the context of this project, the group of Vectors, Gene and Cell Therapy
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. Develop and implement control algorithms for distributed multi-agent system operations and spacecraft-based robotic manipulation. Perform research on spacecraft dynamics and control, including trajectory
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uptake in more patient-relevant tumor models, and ultimately, more durable efficacy for patients. AbbVie is highly invested in antibody-based therapies, including bispecifics, antibody-drug conjugates, and
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.-based academic institutions who can be matched to projects within their area of scientific expertise for this unique 2-3-year assignment. Applicants who are awarded a postdoctoral position will have the