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developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative machine learning solutions to optimize
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treatment for each patient, greatly improving treatment outcomes worldwide. Therefore, in this PhD project, you will fundamentally change how quantitative MRI is obtained and develop innovative AI approaches
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. The verification of distributed systems, however, is notoriously difficult. This PhD research is envisioned to broadly follow one of three directions, but can be adapted to suit the interests of an excellent
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Royal Netherlands Academy of Arts and Sciences (KNAW); today published | Netherlands | about 4 hours ago
international journal articles, resulting in a PhD thesis. Participate in, and present at (inter-)national scientific meetings. Contribute to project dissemination activities and communications with the classical
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this PhD project, you will fundamentally change how quantitative MRI is obtained and develop innovative AI approaches for generating quantitative MRI images from raw MRI data. This will open the way
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fault-tolerance. Due to the critical nature of many distributed systems, their correctness is of crucial importance. The verification of distributed systems, however, is notoriously difficult. This PhD
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difficult. This PhD research is envisioned to broadly follow one of three directions, but can be adapted to suit the interests of an excellent applicant. The use of formal languages to specify and reason
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Activities This fully funded PhD position lies at the interface between fundamental physics and
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team, including another PhD student who focusses on the genomics of adaptation and a postdoc who will analyse the evolved strains using mass spectrometry, in collaboration with bioinformatician Dr
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are seeking a motivated PhD student to join our team working on realizing learning in novel physical materials, as part of a joint theoretical/experimental research project between AMOLF and the University