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will train a cohort of doctoral candidates in an international and interdisciplinary environment, combining academic research, industry-based preclinical development, secondments, network-wide training
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staff position within a Research Infrastructure? No Offer Description Challenge: Design building renovations under future uncertainty. Change: Develop uncertainty-aware life-cycle methods to optimise
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limited, noisy, and low-resolution measurement data? In this project, you will develop a novel physics-informed machine learning approach that integrates physical simulations of the measurement process with
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. The network will train a cohort of doctoral candidates in an international and interdisciplinary environment, combining academic research, industry-based preclinical development, secondments, network-wide
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of therapy development. The network will train a cohort of doctoral candidates in an international and interdisciplinary environment, combining academic research, industry-based preclinical development
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infrastructure? Join us to develop innovative photonic technologies that enable ultra-fast, energy-efficient, and highly scalable optical interconnects for next-generation AI compute clusters. Information
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sciences (https://graduateschool-eps.info/ ) through which you can follow courses on relevant scientific topics and transferrable skills. Terms of employment Depending on education and experience the minimum
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, deadline 1 October! More information about the Full-time PhD in Business and Management programme can be found on the RSM website . Where to apply Website https://www.academictransfer.com/en/jobs/363549
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challenging at temperatures approaching 20 K. Develop new methods to reveal how aerospace materials deform and become damaged under cryogenic and dynamic loading. Your research will contribute to safer hydrogen
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the Research School and Faculty of Humanities PhD training programmes; (co-)teaching courses at BA-level in the second and third year of the appointment (maximum 0,2 fte per year). conduct field-based