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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 months ago
employment. Starting date: 01.03.2026 Job description:PhD Student (f/m/d) in Quantum Algorithms for Fluid and Environmental Flow Modelling With cutting-edge research in the fields of ENERGY, HEALTH and MATTER
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Resource Management (SLUSE) IPB: Natural Resources and Environmental Sciences (NRES) UPM: Environmental Biotechnology/Environmental Engineering/Environmental System and Modeling UGM: Planning and Management
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
Modelling. Your tasks # Development and implementation of numerical and algorithmic methods for the simulation of fluid-dynamical or environmental systems # Research on quantum and hybrid quantum–classical
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the design of algorithms for the automatic calculation of environmental impacts based on data collected throughout the supply chain; c) Collaborate in the creation of graphical models that represent
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, including reduced labour and shorter process times, align with the broader goals of environmentally responsible manufacturing, material efficiency, and high-performance composite production. Achieving defect
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improved fastness properties and reduced environmental impact. v) Documentation management of R&D activities. vi) Preparation of technical and scientific documentation. V - Initial grant duration: 12 months
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3); (iv) To estimate the environmental and human risks of using wastewater for irrigation (Activity 4) by applying risk assessment models; (v) Participate in disseminating project results
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: Hydrology, Water Resources, Data Science, and Computing Admission requirements: BSc or MSc degrees in one of the following areas: Civil Engineering, Computer Engineering, Environmental Engineering, Physical
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Systems MSc (FT and PT) Engineering Science MSc by Research Environmental Change and Management MSc Financial Economics MSc Law and Finance MSc Major Programme Management MSc Mathematical and Computational
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Partnership for Biodiversity, under the following conditions: Scientific Area: Environmental Engineering, Chemical Engineering, Biological Engineering, Bioengineering or related areas Admission requirements