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- VIN UNIVERSITY
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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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methods experience. Quantitative applicants are expected to have worked with large datasets or equivalent project experiences, and have programming skills such as R coding (preferable) and communication
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
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with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected
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or Abaqus (or willingness to learn) General knowledge of structural analysis and material behaviour, especially failure mechanisms Some experience with coding, ideally in Python or MATLAB Funding support This
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essential. However, applicants should be eager to develop strong coding skills as part of the project. Ability to work both independently and collaboratively in academic and industrial settings. Please note
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assessment in architecture and construction? Do you want to work for turning down the emissions and overuse of materials in the built environment? We are now looking for a doctoral candidate for a PhD position
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us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of
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Reza Godini and Prof. Riikka Puurunen , will contribute to a high-impact collaborative research environment. This position is part of the Aalto Hydrogen Innovation Centre Doctoral School (https
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chosen for this position, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria