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Apply now PhD Candidate in Chemistry, Proteomics, and Immunology The Leiden Institute of Chemistry is looking for a PhD candidate to pursue research on the development of immune-modulatory drugs
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, observational and biomarker studies, to (human) in vitro work, to animal and animal-replacing experiments, using state-of-the-art models and technologies. The position of chair of the Nutritional Biology group
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Discrete Element Method (DEM) models to simulate the charging and formation of multi-component, poly-disperse burden mixtures in the blast furnace. The goal is to optimize burden structure and permeability
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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of HBGI interventions at three European sites; · Monitoring of physical, ecological, and social performance compared to traditional grey infrastructure; · Iterative design optimization in
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, rental platforms, and production systems—where decision-making must balance conflicting objectives, leverage real-time data, and ultimately support sustainable profitability. Examples include optimizing
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business analyst are: Understanding the wishes and requirements of the business by clarifying the customer questions and, together with architects and developers, defining the most optimally suitable
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility, Big Data Core and High Throughput Screening Facility. Our research is embedded