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drought resilience in the Eastern Netherlands. The position The specific focus of your PhD project is to develop a conceptual framework to express multiple values of water use, in the geographic and policy
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with Cyber-Physical Systems and systems diagnostics You should be interested in solving analytical tasks, conduct experiments, and develop prototypes, combined with intermediate programming skills (e.g
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(both paid and unpaid); You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision; We encourage
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phase. In fact, current tools, such as fuzzers, detect more potential flaws than organizations can fix. We plan to design and develop automated techniques to analyze discovered vulnerabilities, assess
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PhD position Facilitating the co-creation of sponge measures and strategies in European river basins
basin strategies to practical action perspectives. To address this challenge, this fully funded PhD position aims to develop approaches for inclusive, integrative and effective co-creation and knowledge
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develop solutions to improve the resilience of offshore infrastructures. POSEIDON will train 13 researchers within a collaborative multidisciplinary and inter-sectorial network involving 9 universities, 3
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for a suitable education and supervision. We encourage a high degree of responsibility and independence while collaborating with close colleagues, researchers, and other staff. Additional comments
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of interventions (e.g. diagnostic, pharmaceutical, surgery, rehabilitation…). By incorporating capacity constraints in HTA we can develop a more clinically realistic model. Using simulation modelling techniques
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-mechanics of dynamic frictional phenomena and develop friction laws for single-grain contact. Job description The PhD candidate will plan and implement the research towards the project objectives by
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to staff position within a Research Infrastructure? No Offer Description The main goals of this PhD project are: Develop novel sparse training algorithms that improve the scalability and energy