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and prothrombin. Wet lab production and screening of the aforementioned binders. Optimization of heterobispecific Fc format using protein engineering focusing on humanization and improved stability
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brings together expertise in energy informatics, optimization, data science, social sciences, and governance to develop trusted data-sharing solutions for the heat transition. Within the project, you will
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the bearing. To optimally re-lubricate, it is vital to understand this mixing process. Currently, the scientific knowledge of re-lubrication is non-existent. This project will build new knowledge on several key
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background: familiarity with dynamic optimization, cost‑benefit analysis or macroeconomic modelling is an advantage; Experience with programming (Python, R, MATLAB or similar); Ability to collaborate
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with advanced photoreactors, modular LED light sources, inline analytics, and machine-learning algorithms for the autonomous optimization of photocatalytic reactions. Research will address key challenges
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through prediction of optimal growth and elicitation conditions, and (iii) consolidate results into standard operating procedures and a transferable AI agent applicable across species.
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optimization and resource allocation schemes and algorithms for link and network optimization with hybrid fibre-FSO-RF communications. You will further augment software defined networking controllers
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and build a Digital Twin that links atomic-scale chemistry, mesoscale transport, and device-level performance, allowing researchers to test, predict, and optimize designs in a computer before building
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structure-property relationships to guide purification technology selection · Conduct lab- and pilot-scale testing and optimization of different purification methods Where to apply Website https
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elements should be used to generate the required radiation? how do we generate as many ‘usable’ photons from the plasma as possible? What are the optimal laser and target properties? Project goal The goal