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formulation development and product optimization. Ability to design and evaluate the performance of unit operations. Experience in physicochemical characterization techniques (rheology, particle size analysis
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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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the COVID-19 vaccines) is a highly dynamic and fast moving field. We have developed a generative AI algorithm to optimize the mRNA, and we are looking for an experienced wetlab researcher to test the
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the industry to lead and/or conduct innovative research on, but not limited to evolutionary computing, job scheduling, transfer optimization, transfer learning, reinforcement learning, large-scale
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to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous
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qualitative and quantitative research techniques which include accurate in-depth assessment, interpretation and evaluation of research outcomes. Maintain optimal experiment progress in the laboratory or in
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and chemoproteomics studies Help develop and apply biochemical, biophysical, and metabolic stability assays Screen compounds; analyze and interpret data Apply data to the iterative design of optimized
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type (whichever occurs first), scheduled to start in 2025-10-01. .WORK PLAN: a) Study the parameters and the process conditions for footwear printing; b) Optimization of Additive Manufacturing equipment
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multidisciplinary team driving transformative sensing technologies. Key Responsibilities: Develop and optimize fabrication processes for sensor arrays based on 2D materials (e.g., graphene, MoS₂), including flexible
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: Investigating novel optical materials and technologies Developing and optimizing optical system designs using simulation tools Characterizing and testing optical system performance Collaborate with cross