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treatment-induced relapse mechanisms using pseudotime modelling. At University of Florence (UNIFI), the Doctoral Candidate will work with human MuM tissues repositories. UNIFI has already collected a large
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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) project MicroMan4Health (website: https://www.microman4health.eu/ ), Data-Centric Micromanufacturing Platform Towards Added Value in the Health Sector. The shift from process-centric to data-centric
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the CE transition across areas such as electronics, cooling, heating, and hard-to-recycle materials. Potential research topics include the financial performance of circular business models, sustainable
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microenvironment, and other biological processes. Conduct preclinical studies using in vivo disease models (cancer, inflammation, organ injury, etc.) and new alternative methodologies (advanced biological models
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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Asia, including research visits abroad. The contract is fixed-term and follows Aalto's standard 2+2 model. It will be made initially for two (2) years, with a six (6) month probationary period, and
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tweezers, (iv) quantitative image processing, data analysis and modeling. The project is funded by the MARIE SKŁODOWSKA CURIE ACTIONS (MSCA) Doctoral Network (DN) MOtorized NAnomachines: fundamentaLs
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polymerization processes that are regulated by cellular signals, disease markers, and local microenvironments. The work will involve developing and evaluating material formation in relevant cell models (e.g
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. Hoogwater) and UMO (Prof. Bockhorn, PD Dr. Meyer), including shared patient cohorts, a joint PDAC database, and existing data and material transfer agreements. Your tasks Development and optimization