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Field
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and manage independent research • Ability to set research goals, be self-motivated and proactive • A keen eye for visual presentation, software design, and in writing clear, concise, elegant code
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infrastructure. For reduced (CapEx) costs, greater flexibility and faster evolution, mobile core/radio network functions today are largely realised in software over commodity computing hardware in private/public
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-engine aerodynamics. The project is aligned with the acknowledged skills development needs in the areas of aircraft/propulsion integration, aerodynamics, modelling, software development, research testing
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months: (i) Universidad Politecnica de Madrid UPM (Spain), (ii) Research Centre for Territory, Transports and Environment, Faculty of Engineering UPORT-CITTA, Porto (Portugal), (iii) STRATEC (Belgium
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Experience Experience developing research software using appropriate languages and environements (Python, Julia, Matlab) Knowledge of optimisation problem formulations and solution methods Experience of risk
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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simulation software, e.g., SUMO, MATSim, etc. Good command of a statistical or procedural programming language such as R, python, julia, matlab, etc. Interest in transport policy We offer We offer a full-time
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? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a
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master’s (or international equivalent) in a chemical engineering, physical chemistry or related discipline. Experience programming is essential. Knowledge of molecular modelling is highly desirable
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org