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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms
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deploying an AI project. This includes initial problem specification, data gathering and analysis, model creation, and implementation. Applicants should be willing to learn and use agentic AI to build and
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cellular mechanisms underlying cancer immunoediting in skin cancer. Current research focuses on understanding the role of natural killer (NK) cells in shaping tumor evolution and controlling cutaneous
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analysis of the ATLAS experiment data. The L2IT team plays a driving role within the ATLAS collaboration for the reconstruction of charged particle tracks using geometric deep learning (GDL). The person who
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work at the Department of Psychiatry of Rutgers Health NJMS. This position provides an exciting opportunity to contribute to cutting-edge research at the intersection of aging, cognition, and
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, UE Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1139
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patient care. This is a highly applied computational research role, with opportunity to create meaningful clinical impact! General Duties: Develop AI/ML models for analysis of clinical single-cell data Use
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) Evaluate the implications of these associations for extraction processes; and 3) Assess the critical mineral resource potential of unconventional wastes through geospatial and statistical analysis of supply
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about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala. Form of employment: Temporary employment 24 months, with the possibility of extension
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ambitious scientific challenges. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7083-GUIGIN-015/Default.aspx Work Location(s) Number of offers available1Company