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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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in industry (Alfa-Laval, 4 months) and at our partner university, LU (Sweden, 7 months). As part of the PhD program, you would have the opportunity to receive further education within the Twente
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determine a plan for a suitable education and supervision. Free access to sports facilities on the green campus is granted. Additional comments Your reaction should include an application/motivation letter
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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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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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uncertainties play a role with respect to privacy and conflicting economic interests. In addition, knowledge from a variety of disciplines is required. Objective The PhD’s objective is to develop the contours and
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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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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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the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision; We encourage a high degree of responsibility and independence, while collaborating with
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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