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program aimed at tackling one of the life science industry’s biggest challenges: Closed-Loop Design and Optimization of Biologics. The research program will build on the recent advances in protein design
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for the position. Knowledge of TSN or real-time networking. Experience with one or more of: combinatorial optimization algorithms, ML algorithms, timing analysis network calculus, real-time systems. Excellent
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to enhance enzyme stability, recyclability, and catalytic efficiency, including advanced surface modifications, optimized support materials, and improved reactor designs. The Department of Chemical and
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Design and Optimization of Biologics. The research program will build on the recent advances in protein design, automation, and multi-parameter optimization and create a closed loop pipeline able
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Design and Optimization of Biologics. The research program will build on the recent advances in protein design, automation, and multi-parameter optimization and create a closed loop pipeline able
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primary role will be to contribute to project tasks that demand a deep understanding of electrical or thermal energy system operation and dynamics, modelling approaches, and optimization methods. To excel
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implement optimal experimental approaches for molecular scale quantum sensing Co-supervise and guide younger project students at the BSc, MSc and PhD level Maintain a thriving laboratory culture, ensuring
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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learning techniques to optimize the model and enable charge transport simulations over 20 orders of magnitude in time. This comprehensive model will allow researchers to study the effects of crystal size
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one of the life science industry’s biggest challenges: Closed-Loop Design and Optimization of Biologics. The research program will build on the recent advances in protein design, automation, and multi