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proteins. Under the supervision of the project leader, your responsibilities will include: Establishing and optimizing cell culture protocols under sterile conditions (adherent or suspension eukaryotic cell
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composites manufacturing, including resin infusion, automated fiber placement (AFP), additive manufacturing, autoclave and out-of-autoclave curing, and compression molding. Develop, evaluate, and optimize
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, robotics platforms). Support modeling, simulation, and data-driven optimization using tools such as ROS, Unity, Modelica, Simulink, and SCADA platforms. Collaborate with faculty and industrial partners
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and cutting-edge research. Job Description We are seeking a postdoctoral researcher specializing in digital twins to develop innovative solutions for monitoring, analyzing, and optimizing urban systems
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computing and machine learning. The research will emphasize both theoretical advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more
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optimized to maximize/minimize one or more of the abovementioned metrics under certain constraints. However, very little work has been performed on system/network optimization while considering
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condensation-based system optimization. The positions are designed for early-career scientists with a strong background in thermal sciences, energy systems, or water technologies, and a demonstrated ability to
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, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced techniques like sensitivity analysis and process simulations, the candidate will improve yields and energy efficiency
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researchers to develop and optimize novel techniques for the production of prosthetic devices. Responsibilities: Outline the key responsibilities of the position. This might include: Research innovative
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex