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prediction to process optimization. The focus of this PhD project is to develop and apply machine learning methods across three interconnected tasks: 3D microstructure characterisation. The student will
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water. The work is carried out by building optimization models and collecting data according to principles of open science. The analyses include sensitivity analysis, scenario building and analysis, and
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for Optimized Functions against Cancer for a six-month position, with the possibility of extension. The team Genetic Modification of NK cells for Optimized Functions against Cancer within the Cell&Gene Therapy
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Language Model (LLM), and optimization algorithms. Collaborating with our team to transform research insights into practical, impactful solutions. Staying abreast of the latest advancements in ML
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position as Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep
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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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. The candidates will be working with the QV2 software team and will learn to develop scientific software in a collaborative environment. Project 1: Readout Optimization and Software Development This project focuses
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programming, one in optimization, and one in machine learning at least one advanced-level course in stochastic processes, or in related subjects such as time series analysis, spatial statistics, spectral
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learning methods for protein design Design of enzymes using computational models Identification and optimization of plastic-degrading enzymes Experimental expression, purification, and characterization
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, such as heterogeneity of data sources and communication constraints. By leveraging tools from statistical signal processing, machine learning, optimization, and mathematical modeling, the project aims