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part of the research project “SATELLITE CONSTELLATIONS FOR MASSIVE EARTH OBSERVATION (MASSIV-EO)” funded by the Technical Faculty of IT and Design of Aalborg University. The purpose of MASSIV-EO is to
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Nanosatellite communication networks for Earth observation
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of disordered solid electrolytes”, which focuses on developing computational predictions of disordered crystalline materials and applying these to discover novel solid-state electrolytes for batteries. Thus
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system development and empirical evaluation in real world settings. You will have the opportunity to shape the project based on your interests and in collaboration with a leading architectural firm. The
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will be able to contribute empirical research on Denmark at the firm level, and/or at the aggregate level. Your research can use diverse methodologies depending on your strengths and interests. You will
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learning, data science, atmospheric sciences, geophysics, or related fields. Solid numerical modelling and programming skills (e.g., Python, TensorFlow, scikit learn) are essential, along with a basic
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. degree in computer science, mathematical engineering, mathematics, or similar; - Solid mathematical and analytical skills, including mathematical optimization and information theory; - Solid
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, mathematical engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in
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Computer Science, Electrical/Electronics Engineering, Data Science, Cyber-Physical Systems, or a closely related discipline. Machine Learning & Data Processing: You have solid experience developing and applying
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. The candidate should ideally have experience or interest in one or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning