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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates
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systems are generally ill-conditioned. The project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and
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, photophysics, and numerical modeling. Molecular building blocks will be synthesized and used to construct COFs with predetermined architectures. The resulting materials will be characterized using PXRD, SEM
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Researcher (R1) Positions PhD Positions Application Deadline 30 Sep 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Mar 2027
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
for many other sciences. A strong managerial, administrative, and technical staff supports this instructional mission. Duties of these employees range from budget planning and management for the numerous
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explain their personal contribution. Authorship by itself will not be treated as evidence of research leadership. Candidate requirements Applicants must: Hold a PhD—or have completed all PhD requirements
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). The project focuses on the assessment of robust, accurate, and automated CFD methodologies for aerodynamic analysis of cycling performance, including workflow automation, mesh generation, simulation, post
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future of Austria’s most attractive campus university? We currently have a job opening for a: PhD student for numerical modelling of mass transfer in fluidised beds (must hold a Diploma/Master's degree
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analysis (FEA) and numerical modelling, preferably using Abaqus. Good programming skills, preferably in Python. Ability to work effectively both independently and as part of a multidisciplinary research team