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management across C-BRAIN's AI tool portfolio. Reporting to the C-BRAIN Chief Technology Officer (CTO), this role owns the day-to-day product and technical operations management functions: product backlog
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editing, CRISPR, strain construction, reporter systems or related genetic engineering methods Essential Interview / Application Ability to design, troubleshoot and validate genetic or phenotypic
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 22 days ago
techniques Chemistry » Molecular chemistry Chemistry » Organic chemistry Chemistry » Other Chemistry » Physical chemistry Chemistry » Reaction mechanisms and dynamics Chemistry » Structural chemistry
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optimization of welding and AM consumables and structural alloys; prepares research results for technical reports to sponsors and for scholarly publications; prepares presentations on relevant research findings
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 2 months ago
architecture based on institutional priorities, coordinating with the Director of Planning, Design and Construction; Grounds, Sustainability, Facilities Engineering, and Facilities Maintenance and Operations
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data-informed decision-making at the Missouri University of Science and Technology. The Data Analyst II will play a key role in transforming institutional data into meaningful insights and interactive
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instructional activities Stakeholder Engagement & Coordination Serve as liaison among faculty, departments, consultants, contractors, and university partners (including Architecture, Engineering and Construction
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degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent. Strong foundation in data engineering, AI/ML development, and software systems (e.g., data
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of FCT; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force (https://www.fct.pt/apoios/bolsas/regulamento.phtml.pt ). Where to apply E-mail [email protected]
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protein engineering, including de novo protein design, computational protein modeling, and structure-guided design approaches. 5. Experience with AI/ML-based protein–protein interaction prediction