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actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is
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coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics
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is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and
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atomistic simulations. This project requires creative thinking and programming, as well as technical expertise in materials simulations, electron–phonon physics, and machine learning. We further appreciate
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-driven decision-making. The wider Aalto community , including researchers and students from electrical engineering, automation, computer science and energy-related fields. The working style of the group
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helps us plan daily activities and prepare for extreme events. Today, most forecasts rely on powerful computer models that simulate the atmosphere using the laws of physics. These models are accurate
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, environmental sciences, geoinformatics, physics, computer science, or a related field. Strong programming skills, for example in Python or R, are required. Experience with point cloud processing
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sciences, geoinformatics, physics, computer science, or a related field. Strong programming skills, for example in Python or R, are required. Experience with point cloud processing, terrestrial or airborne
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Eligible candidates should have Master’s degree in electrical engineering, computer science, materials sciences, or a closely related field Fluent written and verbal communication skills in English
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in this role, you should have: A master’s degree, or be close to completing a master’s degree, in speech or audio processing, machine learning, signal processing, computer science, electrical