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Field
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. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant patient outcomes. You will use a real-world case study on
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and thus go beyond relatively straightforward safety and progress properties, system requirements related to the timing of events and the results from performance optimization need to be included in
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, and engineering to optimize and upscale and biodegradable structures that temporarily mimic key emergent traits using industrial-scale additive manufacturing (i.e., 3D-printing) techniques
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, Department of Mathematics and Computer Science. The student’s working locations will be at Eindhoven University where the PhD candidate will be supervised by experts in combinatorial optimization, machine
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! Join us in optimizing transcranial
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manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool design and material
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for sustainable spare parts management using additive manufacturing. You will explore how to: Design supply chains that include AM-based remanufacturing facilities. Optimize spare parts inventories and ordering
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Welcome to Maastricht University! Join us in optimizing transcranial magnetic stimulation (TMS) for personalized epilepsy treatments! PhD Candidate: Towards Personalized Brain Stimulation
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and optimization.
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the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam generation unit, imaging lenses