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, execute, and analyze experiments using in vitro and in vivo models of tracheal and airway regeneration · Utilize and optimize lung-on-a-chip (Emulate) platforms to investigate mechanisms of airway repair
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-scale optimization, data-driven decision-making, the AI-optimization interface, and digital twin simulation. We invite applicants who hold or about to get a doctoral degree in Operations Research
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effectiveness of battery recycling workflows, supporting experimental and simulation studies across the battery lifecycle, and implementing algorithms for process monitoring and optimization so that recycling
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focus on simulation, prototyping, lab testing and developing smart connectors for modular floating breakwaters. Key Responsibilities: Design and build connector models Simulation and optimization
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; prepare research results for publication; Design and plan research to test hypotheses related to multiscale phenomena, model interpretability, and process optimization; Work alongside the PI on grant
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of performance for magnetic hyperthermia (MHT), magnetic particle imaging (MPI), and sensing applications. The position offers a unique opportunity to bridge fundamental magnetism, advanced nanofabrication, and
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the works in technical reports or papers. Knowledge of network placement optimization for various topologies, e.g., Erdos-Renyi random network, scale-free, small world, etc, will be advantageous. key
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, or job experience. Proficiency in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a
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-energy interactions to evaluate cross-sector optimization and CO₂ reduction potential. Conducting scenario-based simulations to assess system performance, flexibility potentials, and robustness under
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algorithms for the robot and its pneumatic actuators, enabling actuation through a reduced number of control signals and fluidic supply channels. - Performance evaluation and optimization Experimental