200 programming-"Multiple"-"U"-"U.S"-"Sun-Yat-Sen-University" "Prof" PhD positions in Netherlands
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- University of Groningen
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machines that will lead to demonstrations with practical relevance. Specifically, this project in the group of prof. Feringa aims to address two key challenges: 1) How can we amplify the work of molecular
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., machine learning, stochastic dynamic programming, simulation). Affinity with (food) supply chain management is preferred. To collaborate with and to co-supervise MSc thesis students and internship students
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PhD thesis within the contract period is to be expected. A PhD training programme is part of the agreement and the successful candidate will be enrolled in the Graduate School of the Faculty
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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 Do you have experience conducting economic research on the Dutch or European
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candidate will be supervised by Prof. Francesco Maresca, chair of the Mechanics of Materials unit of the Engineering and Technology institute Groningen (ENTEG). Organisation Founded in 1614, the University
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the analysis. These logistics concepts must be resilient: robust, adaptive, and flexible. The research questions can be tackled by combining techniques from the domains of Integer programming, (Stochastic
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of “the countryside” for both urban and rural residents. The PhD position is part of the NWO-funded research programme Fertile Soils, which conducts inter- and trans-disciplinary research into making relationships
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to regenerative agriculture, including biological indicators that are often neglected in soil health monitoring programs. You will be part of a team of PhDs focusing on modeling soil processes at different scales
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant