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program duration: 4 years Funding Source: National Science Centre (NCN) - OPUS 27 program and Silesian University of Technology Doctoral School Employment Conditions: PhD student at the Silesian University
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD aims at an innovative dialogue between practice and
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Doctoral candidates with exposure to academic and commercial working environments through a balanced secondment plan, and access to a complete training program complementing scientific skills with personal
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facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer
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to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of Science and Engineering. The preferred starting date is as soon
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Joint degree / double degree programme No Description/content Data Science is a scientific field that has emerged at the interface of computer science, mathematics, statistics and applications. It is
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 10 days ago
are looking for, please apply by filling in this form: https://forms.gle/Exoy7iw4U8cYLL9C6 The position is funded by the First Team FENG programme under the Foundation for Polish Science (FNP), project number
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Join an interdisciplinary team that brings state-of-the-art AI
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must have completed a Master of Science degree with thesis work, a Research Masters/M.Phil degree, or a comparable degree relevant for the specialisation in Finance by the time the program starts in
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measurement in construction. The skills, qualifications and experience required to perform the role are: Hold (or be close to obtaining) a PhD in Computer Science, Civil Engineering, Data Science, Information