2,048 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" PhD positions
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of the Accelerate Future HEI Project for the acceleration and institutional transformation program for innovative and entrepreneurial higher education institutions. Support tasks for the development of knowledge
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 22 hours ago
-motivated and qualified candidates to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures
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students benefit from working in an institute with long-standing expertise in chemistry and radiopharmaceutical development, providing a strong foundation for cutting-edge research in nuclear medicine
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(Social and Territorial Development) is issuing a call for expressions of interest from prospective PhD candidates interested in working under the supervision of Dr. Meritxell Simon-Martin (University
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. Together, IOR and IDV host the new limits2visionresearch training network to educate the next generation of European vision researchers. This network is funded by the German Research Foundation (DFG) as
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Manufacturing (AM) is increasingly applied in repair and remanufacturing; however, integrating AM into supply chains demands new models and methods. In this PhD project, you will: develop dynamic supply chain
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well as to reduce other negative environmental impacts, are central to the work. The work will build on the extensive knowledge and model structure developed within phase 1 of the research program Mistra Food Futures
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research is developed within the framework of a European consortium, ESCO, where scientists, clinicians, patient families and industrial partners work together to promote research, therapy development and
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no-show appointment rates. We develop methodologies for elderly care systems in rural areas by integrating primary and specialist care (coordinating between the sectors) using advanced data-driven planning
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investigated. These insights will form a key part of the ‘build, test, learn’ cycle to accelerate the development of further biocatalysts for related ‘new-to-nature’ reactions. The reults will reveal the