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generation Developing and optimizing generative models for de novo minibinder design Integrating structural biology data into AI pipelines for receptor–ligand interaction modeling Fine-tuning large protein
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communication skills in English, 4. Programming skills are desirable (Julia, Python, convex optimization and semidefinite programming). Task description: The project focuses on analytic and geometric properties
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to several aspects of the project, including: -design, development and validation of experimental optical microscopy setups -modelling and optimization of experimental parameters -adaptation and further
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three academic partners (LEPMI in Grenoble and Chambery, LEMTA in Nancy and SYMME in Chambery) with the aim to improve the durability of PEM fuel cells, by optimizing the mechanical properties
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-optimally and as such are experiencing loses in productivity, yields and profits. These loses could be alleviated if key analytes that indicate bioprocess performance, could be quantified, automatically
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by desorption, as well as crystallization and precipitation of Magnesium Ammonium Phosphate (MAP). These processes are tested and optimized on a pilot-scale wastewater treatment plant using real
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appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research
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of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
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testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs
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to collaborate closely with computational designers to optimize and characterize novel enzymes. Where to apply Website https://apps.udg.edu/contractacioPDI/account/login.aspx?id=recerca&tipus=recerc… Requirements