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Field
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computer science or a related discipline. Good knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages
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extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing
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diagnostic tools into failure analysis workflows. • Build robust and scalable software solutions interfacing with diagnostic instruments and test platforms. • Drive optimization of system
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performance optimization. Experimental input will be limited and used selectively for validation purposes, rather than extensive experimental campaigns, drawing on available electrochemical testing
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support: PK/PD analyses Exposure–response characterization Dose selection and optimization Evidence of scientific engagement and emerging thought leadership in Quantitative Clinical Pharmacology and
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autonomous experimentation platforms, including robotic systems, laboratory automation, and AI/machine learning-assisted approaches for experimental design, optimization, and materials discovery. The research
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. Research & Project Responsibilities Plan and execute experimental workflows to achieve project milestones. Lead prototype development and performance optimization of the SERS biosensor system
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Fellow is expected to conduct research in integrated polaritonic devices and waveguides, including the design, fabrication, optimization and experimental characterization of polaritonic waveguides
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. Drive optimization of system performance for real-world deployment. 3. Data Analysis & Reporting a. Manage the collection, preprocessing, and large-scale analysis of experimental and
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, Matlab. - Perform process simulation and optimization using tools such as Aspen HYSYS. - Conduct CFD simulations to optimize membrane module design. - Develop and improve experimental and